Senior Data Analyst

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe invite you to join our dynamic data engineering team as a proficient Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be tasked with architecting, developing, and sustaining robust data pipelines that guarantee exceptional data quality and accessibility throughout the organization. Your expertise in big data ecosystems, cloud-native technologies, and sophisticated data processing methodologies is essential.The ideal candidate will possess extensive hands-on experience in data ingestion, transformation, and optimization on the Cloudera Data Platform, complemented by a strong history of applying data engineering best practices. You will collaborate closely with fellow data engineers to devise solutions that foster significant business insights.Key ResponsibilitiesDesign and develop scalable ETL pipelines using PySpark on CDP, ensuring data integrity.Manage data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or warehouse on CDP.Utilize PySpark for processing, cleansing, and transforming vast datasets to meet analytical and business needs.Optimize performance by fine-tuning PySpark code and Cloudera components to enhance resource utilization.Establish data quality checks and validation routines to maintain data accuracy throughout the pipeline.Automate workflows using orchestration tools like Apache Oozie or Airflow within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and maintain the Cloudera Data Platform and associated processes.Collaborate with data engineers, analysts, product managers, and other stakeholders to understand data requirements.Document data engineering processes, code, and pipeline configurations thoroughly.QualificationsBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.3+ years of experience as a Data Engineer, focusing on PySpark and the Cloudera Data Platform.

Join our innovative team as a Data Engineer within the Data Engineering Chapter, supporting the Group Operations Team. As a vital contributor, you will partner with both business and technical stakeholders to define data needs, execute impact assessments, and create robust, scalable data pipelines utilizing cutting-edge technologies such as PySpark.Key ResponsibilitiesEngage with the Group Operations Team to capture and evaluate data requirementsConduct impact assessments, technical data mapping, and data profilingArchitect and implement data extraction, transformation, and loading (ETL) pipelinesEnhance and fine-tune data pipelines using PySpark as part of the bank's modern technological ecosystemCraft data solutions that align with AECB application data modelsGuarantee data quality, integrity, and consistency across all systemsParticipate in unit testing, deployment, and production supportUtilize advanced AI tools (e.g., Claude) to boost development efficiency and minimize operational errorsCollaborate in an agile environment to foster continuous improvement initiatives

Join our dynamic Group Risk team as a Data Engineer, where you will play a pivotal role in constructing and managing comprehensive data pipelines essential for IFRS9 reporting. This position requires close collaboration with business stakeholders to identify data requirements, perform impact assessments, and deliver exceptional data solutions utilizing cutting-edge technologies like PySpark and Informatica BDM.Key ResponsibilitiesWork alongside the Group Risk Team to gather and comprehend business and data needs.Conduct impact assessments and technical data mapping for both new and existing data sources.Perform data profiling to guarantee data quality, consistency, and completeness.Design, develop, and sustain ETL pipelines utilizing PySpark and Informatica BDM.Create scalable data transformation workflows in alignment with IFRS9 data models.Ensure precise data extraction, transformation, and loading (ETL) into reporting systems.Engage in unit testing, validation, and deployment of data pipelines.Enhance data processing performance and resolve production issues.Utilize modern tools (e.g., AI-assisted tools like Claude) to boost productivity, minimize errors, and refine development workflows.Maintain thorough documentation for data flows, mappings, and processes.Required Skills & QualificationsProven experience in PySpark for extensive data processing.Hands-on experience with Informatica BDM (Big Data Management).Strong grasp of ETL concepts, data warehousing, and data modeling.Experience in data profiling, data mapping, and impact analysis.Familiarity with IFRS9 or the Risk/Banking domain is highly advantageous.Knowledge of distributed data processing frameworks and big data ecosystems.Excellent SQL skills and experience with relational databases.Sound understanding of data quality and governance principles.Preferred SkillsExperience with cloud platforms (AWS / Azure / GCP).Familiarity with AI-assisted development tools (e.g., Claude, GitHub Copilot).Understanding of CI/CD pipelines in data engineering workflows.Soft SkillsStrong analytical and problem-solving abilities.Exceptional communication and stakeholder management skills.Capacity to thrive in a fast-paced, collaborative environment.

Join us at gsstech-group as a Data Engineer, where your expertise in PySpark and Informatica BDM will play a crucial role in enhancing our Risk & Compliance platforms within a transformative Trade Transformation initiative. Collaborate with a dedicated Data Engineering team to deliver scalable, high-quality data solutions that meet our strategic objectives.Key Responsibilities:Engage with the Data Engineering team to evaluate the impacts of transformation initiatives on Risk & Compliance platforms.Convert business requirements and impact assessments into actionable data engineering tasks.Architect, develop, and implement robust data solutions that adhere to enterprise architecture standards.Build and optimize data pipelines leveraging PySpark and Informatica BDM.Ensure prompt delivery of development tasks while maintaining exceptional quality and compliance with SLAs.Collaborate with cross-functional teams, including business, risk, and compliance stakeholders.Utilize cutting-edge tools and technologies, including AI-assisted development tools, to drive productivity.Participate in code reviews, testing, and deployment activities.

Join our dynamic team at gsstech-group as a talented Data Engineer within the Data Engineering Chapter, working closely with the Group Operations team at ENBD. In this role, you will be instrumental in developing scalable data pipelines, conducting data analyses, and providing top-tier data solutions that align with our enterprise data models.Key ResponsibilitiesEngage with the Group Operations Team daily to clarify business and data requirements.Execute Impact Assessments for both new and existing data modifications.Carry out Technical Data Mapping and Data Profiling.Design, implement, and sustain ETL pipelines for efficient data extraction, transformation, and loading.Create data solutions that integrate with the AECB application following established data models.Enhance and maintain data pipelines utilizing PySpark on contemporary data platforms.Ensure the quality, consistency, and integrity of data across various systems.Conduct unit testing, debugging, and deployment of data solutions.Utilize modern tools and AI technologies (e.g., Claude) to boost development efficiency and minimize operational errors.Collaborate effectively with cross-functional teams including business analysts, architects, and QA.Required Skills & QualificationsProven expertise in PySpark and distributed data processing.Experience with Informatica BDM Development (Big Data Management).Deep understanding of ETL/ELT concepts and data pipeline architecture.Proficiency in data mapping, data profiling, and impact analysis.Experience with large-scale data systems and cloud/data platforms.Strong SQL skills and a solid grasp of data warehousing principles.Familiarity with the banking/financial domain is a plus.Knowledge of AI-assisted development tools (e.g., Claude) is advantageous.Excellent problem-solving and analytical abilities.Preferred QualificationsExperience with AECB data/reporting systems.Exposure to big data ecosystems (Hadoop/Spark clusters).Understanding of data governance and compliance standards.

Job Title: Data Analyst (Python + Pyspark)About UsCapco, a Wipro company, is a leading global technology and management consulting firm. Recognized as Consultancy of the Year at the British Bank Awards and ranked among the Top 100 Best Companies for Women in India 2022 by Avtar & Seramount, we operate in over 32 cities worldwide, supporting more than 100 clients in banking, finance, and energy sectors. We pride ourselves on our capability to execute and deliver transformative solutions.Why Join Capco?Engage in dynamic projects with leading international and local banks, insurance companies, payment service providers, and other pivotal industry players. Contribute to projects that are set to revolutionize the financial services landscape.Make an ImpactBring innovative thinking and delivery excellence to help our clients transform their businesses. Together with our clients and industry partners, we create disruptive advancements that are reshaping the energy and financial services sectors.#BeYourselfAtWorkCapco fosters an inclusive and open culture that values diversity and creativity.Career AdvancementAt Capco, we promote a flat organizational culture that empowers everyone to take charge of their career development.Diversity & InclusionWe believe our competitive edge stems from a diverse workforce and varied perspectives.Job Description:Role: Data Analyst / Senior Data AnalystLocation: Bangalore/PuneResponsibilities include defining and sourcing data necessary for delivering insights and use cases, determining data mapping across multiple datasets, and creating processes to highlight key trends.

Join our innovative team as a Lead Data Engineer at weekday-1, where your expertise in data architecture and engineering will play a pivotal role in driving our data initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and optimizing data storage solutions. Collaborate with cross-functional teams to deliver actionable insights and enhance our data-driven decision-making processes.

Join a Leading UAE Bank as a Full Stack Engineer (Node.js & React)We are seeking a talented Full Stack Engineer with strong expertise in React and Node.js to join our dynamic team. As a key player in our development efforts, you will create innovative solutions that enhance our enterprise applications, ensuring a seamless user experience.

Role Overview Tietoevry is looking for a Senior PySpark Developer to join the Tieto Tech Consulting team in Bengaluru. This position focuses on designing and building scalable data solutions for clients, using PySpark as a core technology. Projects often involve complex data analytics and processing challenges. What You Will Do Design and implement data solutions using PySpark Work closely with team members to solve data analytics problems Support clients in making the most of their data assets Contribute to collaborative project work in a consulting setting Location This role is based in Bengaluru.

We are seeking an experienced IT Engineer to take on the role of Tech Lead in our Data Engineering team. This position involves leading projects aimed at optimizing data workflows and enhancing data architectures. You will work closely with cross-functional teams to ensure the seamless integration of data solutions and foster innovation within the organization.

Join Sutherland as a Lead Data Engineer, where you will spearhead data engineering efforts and drive innovative solutions. You will lead a team of skilled professionals in the design, development, and optimization of data systems. Your expertise will be crucial in ensuring the integrity and accessibility of data across the organization.

Join our dynamic team at Cermaticom as a Lead Data Engineer, where your expertise in Java will play a pivotal role in driving our data initiatives forward. You will be responsible for designing, implementing, and maintaining robust data architectures while ensuring data quality and security. Collaborate with cross-functional teams to create innovative data solutions that empower decision-making across the organization.

Join Capco, a leading global technology and management consulting firm, as a Data Expert specializing in Data Analysis and Data Modeling. In this role, you will engage in transformative projects with major banks, insurance companies, and payment service providers, driving innovation in the financial services industry. Your work will not just be about data; it will be about making an impact by delivering excellence and thought leadership, helping our clients navigate their business transformations effectively. We promote a diverse, inclusive, and creative work environment where you can be your authentic self and take charge of your career development.

Join our dynamic team as a Senior Talend Developer / Lead Data Engineer at Bosch Group in Bengaluru. In this pivotal role, you will leverage your expertise in Talend to drive data integration processes and lead engineering initiatives that enhance our data infrastructure.

Join our innovative team as a Software Developer where you will leverage your expertise in Python, PySpark, and AWS to build cutting-edge solutions. You will be working on exciting projects that challenge your skills and foster your professional growth.

Join Continental as a Tech Lead IT Engineer specializing in Data Lakehouse solutions. In this pivotal role, you will lead innovative projects, manage technical teams, and drive data strategy initiatives.

Join our dynamic team at Continental AG as a Global IT Team Lead in Data Engineering! In this pivotal role, you will drive innovation and efficiency in our data engineering initiatives, leading a team of skilled professionals to optimize data solutions across our global operations.Your responsibilities will include overseeing data architecture, ensuring data quality, and implementing best practices in data management. You will collaborate with cross-functional teams to align data strategies with business objectives, thus enabling informed decision-making and fostering a data-driven culture.

We are seeking an experienced Senior Data Engineer with a strong background in DevOps and Data Engineering technologies. The ideal candidate will have between 7 to 12 years of relevant experience and will be responsible for designing and implementing scalable data solutions.Key Responsibilities:Develop, maintain, and optimize data pipelines and architecture.Leverage DevOps principles to automate processes and enhance data workflows.Collaborate with cross-functional teams to deliver high-quality solutions.

About the JobIf you're eager to construct, innovate, and witness the results of your work, look no further than Skillz. Elevate your career with us!Skillz is the pioneering publicly-traded mobile eSports platform, hosting billions of casual gaming tournaments for millions of players globally. We are transforming the gaming landscape by promoting social competition within games, enabling developers to create multi-million dollar franchises, facilitating real-money transactions, and providing comprehensive operational support while uniting players through equitable, enjoyable, and significant competition.At Skillz, we cherish the excitement of achievements and the fulfillment that comes from overcoming obstacles. Are you interested in joining a team comprised of alumni from renowned companies like Apple, Amazon, Google, Microsoft, and more? Discover if Skillz is the perfect match for your next career journey!