Lead Data Analyst

Oversee and lead a team of proficient data analysts.Develop data mappings essential for creating data marts and lakes.Design and implement user-friendly interfaces and dashboards for effective data interaction and visualization.Conduct thorough testing and validation of software and data products to guarantee accuracy and dependability.Engage in collaboration with fellow developers, data analysts, and stakeholders to ensure software alignment with business objectives.Provide analytical support to Business Performance and Strategic Analytics for departments and decision-makers.Core Skills:Expertise in Data Product Development and Data Mart design.Knowledge of Machine Learning, Deep Learning, Time-Series Analysis, and Optimization techniques.Understanding of Retail, Business, and Wholesale Banking products.Strong communication and interpersonal skills.Proficient in people management with a focus on multicultural awareness.Technical Skills:Proficient in Python (along with R, SAS, and Spark) and SQL, DAX.Strong coding abilities in languages such as Python, R, and Java.Familiarity with cloud data technologies.Competencies:Advanced proficiency in SQL and Python; experience with SAS/R/Spark is an advantage.Experience in deployment across various databases and server/cloud environments including AWS and Azure.Thorough understanding of banking functionalities is a significant advantage.Excellent communication and documentation skills to effectively convey information to stakeholders.Familiarity with tools such as Power BI, Tableau, or Qlik is beneficial.

Join our dynamic team at gsstech-group as a meticulous and analytical Data Analyst specializing in the insurance sector. We are looking for a candidate with robust experience in data migration projects and Master Data Management (MDM). In this pivotal role, you will contribute to transformative projects related to policy, claims, underwriting, and customer data, ensuring exceptional data quality, integrity, and adherence to governance standards.The successful candidate will possess strong analytical capabilities, comprehensive knowledge of the insurance business domain, and practical experience in data mapping, reconciliation, validation, and MDM processes.Key Responsibilities1. Insurance Domain Data Analysis· Analyze insurance data across Policy Administration, Claims, Underwriting, Billing, and Reinsurance systems.· Collaborate with business stakeholders to identify data requirements and regulatory obligations.· Interpret complex insurance data models and business rules.2. Data Migration· Execute source-to-target data mapping and document transformation logic.· Carry out data profiling, cleansing, validation, and reconciliation activities.· Identify data gaps, inconsistencies, and quality issues during the migration process.· Assist in migrating from legacy systems to contemporary core insurance platforms.· Validate migrated data through User Acceptance Testing (UAT) and post-migration audits.3. Master Data Management (MDM)· Support the implementation and ongoing maintenance of MDM frameworks.· Manage various data sets and data sources effectively.· Define and monitor data quality Key Performance Indicators (KPIs).· Ensure standardization, de-duplication, and creation of golden records.· Collaborate with governance teams to enforce data standards and policies.4. Reporting & Insights· Develop comprehensive dashboards and reports utilizing tools such as Microsoft Power BI and Tableau.· Conduct ad-hoc analyses to support underwriting and claims performance.· Present actionable data insights to business and leadership teams.

Join our dynamic team at mexdigital as a Data Analyst. We are looking for a detail-oriented individual who is passionate about transforming data into actionable insights. You will be responsible for analyzing complex data sets, generating reports, and presenting findings to stakeholders. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to data-driven decision-making.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

Bayut and dubizzle are distinguished as iconic, homegrown brands boasting a robust presence across the seven emirates in the UAE. We connect millions of users nationwide and are dedicated to providing the ultimate online search experience.As a member of Dubizzle Group, you will collaborate with some of the strongest classified brands in the market. With a combined strength of five brands, we serve over 123 million monthly users who trust us to provide the ideal platform for their needs.In your role as a Data Analyst Intern, you will play a pivotal role in promoting data and our methodologies to functional analysts and stakeholders throughout the company.You will engage closely with teams in marketing, sales, finance, and product, thriving in a dynamic, professional, and international environment.Your responsibilities include: Accessing and manipulating large datasets to support planned analyses utilizing SQL, Python, and similar tools. Designing and developing BI dashboards using Sisense or similar platforms (e.g., Tableau, Power BI, Data Studio) to visualize organizational metrics and indicators based on best practices in finance, sales, inventory, and more. Assisting in defining KPIs and driving data governance through standardization and communication. Enhancing analysis and reporting capabilities; monitoring performance and quality control plans to identify improvements. Demonstrating proficiency in query writing, report generation, and presenting findings. Researching and validating entity data using appropriate internal and external data sources. Liaising and analyzing across projects within the Reference Data environment. Analyzing, specifying, testing, and implementing interfaces, workflow solutions, and reference data solutions, including regression testing systems prior to upgrades. Participating in the design, implementation, and interpretation of experiments for continuous refinement of ongoing strategies. Qualifications: Bachelor’s degree in statistics, mathematics, computer science, or a related field. Proficiency in SQL and Microsoft Excel. Knowledge of statistics and experience with statistical packages for dataset analysis (e.g., Excel, SPSS, SAS). Excellent verbal and written communication skills. Strong problem-solving abilities. Benefits: Contribute to a platform utilized by over 5M users in the UAE and other regional platforms. Enhance your resume and expand your professional network. Opportunity to secure a full-time position with a leading organization in the region. Work in a multicultural environment representing over 60 different nationalities. Access to Learning & Development opportunities.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

Company Overview:Join a dynamic international media and digital content platform that has established a commanding presence in Asia and is rapidly expanding in the Middle East. Our client is dedicated to leveraging large-scale content ecosystems that encompass long-form content, short-form videos, and subscription-based products. By enhancing its data-driven decision-making capabilities, the company aims to foster regional growth and success.This role is pivotal to analyzing content performance, understanding user behavior, and driving commercialization analytics. You will collaborate closely with the content, product, and growth teams to optimize outcomes.Key Responsibilities:- Develop a real-time, quantifiable data framework with unified core metrics and definitions.- Create and manage comprehensive dashboards and regular reports on content performance, conversion funnels, retention rates, and monetization metrics.- Perform deep-dive analyses of significant content, projects, and campaigns, offering evaluations, diagnosing issues, and recommending optimizations.- Build user profiling and segmentation models, including tagging systems, audience clusters, and preference insights to inform content and operational strategies.- Identify critical user journey drop-off points, spearhead cross-functional improvement initiatives, and monitor the results of optimization efforts.Requirements:- Proven experience in data analysis or operations, ideally within content platforms or growth-focused environments.- Strong SQL proficiency and hands-on experience with BI tools such as Looker, Power BI, or Tableau.- Python programming experience is advantageous.- Exceptional analytical thinking with the ability to connect problems, metrics, insights, actions, and reviews.- Excellent communication and stakeholder management skills, facilitating effective collaboration with product, content, and operations teams.- Fluent English is required; familiarity with Middle Eastern users or Arabic language skills is a significant advantage.Why This Role:- Play a high-impact role that directly influences content and user growth strategy.- Engage with regional and global stakeholders in a vibrant international organization.- Opportunity to establish scalable data foundations and analytics frameworks from the ground up.- Competitive compensation with opportunities for long-term career development.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

DeepLight AI is a leading consultancy specializing in artificial intelligence and data solutions, renowned for our in-depth experience in deploying intelligent enterprise systems across various sectors, particularly in financial services and banking. Our expert team blends comprehensive knowledge of data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a nuanced understanding of intricate business operations.We are currently seeking a Data Assurance Lead to act as the principal steward of data integrity within our clients' multifaceted Lakehouse environments. In this pivotal consultancy position, you will not only oversee data but also architect, execute, and operationalize a comprehensive Data Assurance Framework from the ground up. By leveraging Soda Core within the Medallion architecture (Bronze, Silver, Gold), you will establish stringent quality standards, automate data contracts, and incorporate scorecards into OpenMetadata.In this consultative role, you will transcend the role of a mere technical specialist; you will become a strategic champion for data reliability. Exceptional communication skills are essential to effectively convey the significance of data assurance to stakeholders, guide cross-functional teams through ambitious migration objectives, and foster a culture of quality within AWS Glue and Data Factory workflows. If you have over 8 years of experience—preferably within the Financial Services or Banking industries—and flourish in dynamic, Agile environments where you can simplify complexity and engage senior stakeholders, we invite you to take on this exciting challenge.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

Join RAKBANK as a Business Analyst and contribute to our mission of driving data-centric initiatives and enhancing business processes across both retail and corporate banking sectors. We are looking for a proactive and meticulous individual who can effectively bridge the gap between business stakeholders and technical teams, ensuring that data insights translate into actionable strategies and optimized DataMarts.Key Responsibilities:Engage with stakeholders to gather, analyze, and document business requirements for data analytics, management information systems (MIS), and artificial intelligence/machine learning (AI/ML).Conduct thorough analyses using SQL, Power BI, and other analytical tools to uncover insights, identify opportunities, and facilitate decision-making across various banking products.Develop a comprehensive understanding of functionalities across retail banking products (such as cards, loans, and accounts) and corporate banking solutions (including trade finance, treasury, and payments).Lead and facilitate User Acceptance Testing (UAT) for DataMarts to ensure they align with business objectives and requirements.Act as a liaison between business units and IT to promote effective communication and alignment on projects.Take responsibility for the delivery and maintenance of DataMarts in support of the strategic analytics division.

DeepLight AI is a premier AI and data consultancy renowned for its expertise in deploying intelligent enterprise systems across diverse sectors, with a strong focus on financial services and banking. Our dedicated team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an acute understanding of intricate business operations.We are on the lookout for an innovative Data Architect to lead the strategic design of our most sophisticated enterprise Lakehouse implementations. In this high-impact consultancy role, you will take ownership of the Medallion Architecture roadmap, guiding high-level decision-making within SAF/ARB forums and establishing the gold standard for Apache Iceberg tables — encompassing partitioning strategies, schema evolution, and time travel. Your role will involve bridging the divide between abstract design and practical application, leading Data Factory squads, and mentoring AWS Glue Engineers to ensure adherence to global modeling and lineage standards.Technical prowess is just part of the equation; we seek a master communicator who can engage and influence senior stakeholders effectively. You should be capable of compellingly presenting your architectural vision, adeptly managing complex escalations, and translating intricate metadata and lineage strategies into tangible business value. If you are a technical authority eager to shape the trajectory of large-scale transformations in financial services and establish reusable design patterns that set our firm apart, we invite you to lead our architectural practice.

Join RAKBANK as a Digital Analyst and become an integral part of our Data Platforms department. In this dynamic role, you will leverage your analytical skills to drive data-driven decisions that enhance our digital offerings. Collaborate with cross-functional teams to analyze performance metrics, identify trends, and create actionable insights that contribute to the growth of our banking solutions.

Key Responsibilities:Deliver timely and accurate management reports while ensuring high standards of quality.Collaborate with the Manager to create detailed analytical packs focused on Assets and Liabilities for senior management, reviewing these monthly with stakeholders to assess sales performance and overall portfolio growth.Provide insightful performance feedback on various Assets & Liabilities products to management.Design daily dashboards for the leadership team to track portfolio movements and daily sales performance against budget.Assist the Products team with ad-hoc data analyses related to Assets & Liabilities as required.Support business heads and their teams with all Business Intelligence needs.Analyze trends in the Liability Book and notify senior management of any potential opportunities or discrepancies.Develop and maintain dashboards to minimize manual efforts, ensuring data accuracy and timely reporting.Work closely with the leadership team to meet their data requirements efficiently.Core Functions:Generate data for analytical purposes concerning all facets of the Assets & Liabilities business.Adhere to data generation procedures for audit compliance.Work with cross-functional teams to comprehend business needs and deliver data-driven solutions.Stay updated on industry trends and new technologies to enhance data analytics capabilities.Contribute to formulating data strategies and best practices for the organization.Act as a subject matter expert in data management and analytics to facilitate informed strategic decisions.

Join our innovative technology team as the Vice President of Data Platforms. We are looking for an accomplished leader to guide our AI and machine learning strategies from our Dubai office. In this pivotal role, you will oversee the development and implementation of cutting-edge data platforms that drive our organization forward in the digital landscape.Your Responsibilities:Formulate and execute a comprehensive AI/ML strategy aligned with our business goals.Manage the design, development, and upkeep of scalable data platforms and AI/ML infrastructure.Lead and nurture a talented team of data scientists, engineers, and analysts, encouraging a culture of creativity and excellence.Work collaboratively with cross-functional teams to identify and deploy AI/ML solutions that enhance business outcomes.Establish and uphold best practices for data governance, security, and compliance across all AI/ML projects.Keep informed of the latest trends in AI/ML and data technologies, providing strategic recommendations for adoption.Build and maintain relationships with key technology partners and vendors in the AI/ML industry.Communicate AI/ML strategies, progress, and outcomes to executive leadership and stakeholders.Facilitate the integration of AI/ML capabilities into current products and services.Optimize resource allocation and manage budgets for AI/ML initiatives.

Welcome to MultiBank Group, a leading global financial institution founded in 2005 in California and now proudly headquartered in Dubai, UAE. We are at the forefront of delivering innovative trading technology, unmatched liquidity, and exceptional customer support. Our diverse portfolio of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our dynamic community of over 2 million clients in more than 100 countries, contributing to a daily trading volume that exceeds US$ 35 billion. As a highly regulated entity supervised by over 17 financial regulators across five continents and the recipient of more than 70 financial awards, MultiBank Group is committed to fostering innovation, excellence, and empowering our clients to reach their financial aspirations.Role OverviewWe are in search of a detail-oriented and analytical Product Analyst to enhance our team in Dubai. This pivotal role bridges the gap between product development, data analysis, and business strategy, playing a vital role in fostering data-driven decision-making across our digital platforms.As a Product Analyst, you will collaborate closely with Product Managers, Engineers, and Business stakeholders to extract insights, refine user experiences, and catalyze measurable improvements in product performance. You will harness data to narrate compelling stories, pinpoint growth opportunities, and steer product direction within a fast-paced and impactful environment.Key ResponsibilitiesEvaluate user behavior, conversion funnels, and product performance metrics to unveil trends, opportunities, and areas for enhancement.Create, maintain, and improve dashboards, reports, and KPIs to monitor product health and effectiveness.Define, track, and analyze critical user lifecycle metrics including activation, retention, engagement, and churn.Design, implement, and assess A/B tests and experimentation frameworks to promote continuous product enhancement.Conduct cohort analyses and in-depth investigations to comprehend user segments and behavioral trends.Collaborate with Product Managers to establish success metrics, hypotheses, and data-driven product roadmaps.Convert complex business challenges into structured analytical strategies and actionable insights.Work alongside Engineering and Data teams to guarantee accurate data tracking, instrumentation, and data integrity.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

Company: SFORS Location: Dubai, United Arab Emirates About SFORS SFORS is an established name in global financial markets, focused on proprietary trading and pre-market strategies. For over two decades, the firm has built its reputation on developing talent, investing in advanced trading technology, and applying sophisticated risk management models. SFORS trades exclusively with proprietary capital, creating a focused environment for its teams. Role Overview: Risk Quantitative Analyst The Risk Quantitative Analyst will join the Risk Management team. This role works directly with traders and risk managers to develop, validate, and improve market risk models. The main goal: ensure strong risk oversight of equity portfolios, especially those in US markets. What You Will Do Collaborate with traders and risk managers on risk model development Validate and refine market risk models for equity portfolios Support effective risk oversight for US market trading activities Work Environment SFORS operates with proprietary funds only, offering a dedicated and focused trading setting.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.