Lead Data Engineer

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will play a pivotal role in designing, implementing, and managing robust data pipelines and architectures that drive our data-driven decision-making processes. You will lead a team of talented engineers and collaborate with cross-functional teams to deliver innovative data solutions that empower our clients and enhance their operational efficiencies.

Join Infotel India as a seasoned ETL, Python, and Visualization Lead in our vibrant team. In this pivotal role, you'll spearhead the design and execution of robust ETL processes, craft innovative Python solutions, and develop insightful data visualizations to drive strategic business decisions. As a leader, you will work in synergy with stakeholders, data engineers, and analysts to establish efficient data workflows that yield impactful insights. This is a remarkable opportunity for a technical leader to significantly influence our data initiatives and enhance client outcomes.Key Responsibilities Design, develop, and maintain scalable ETL pipelines. Manage and optimize large datasets to guarantee data quality and integrity. Create data processing solutions utilizing Python. Develop interactive dashboards and reports leveraging data visualization tools such as Power BI, Tableau, or equivalents. Mentor and guide junior team members. Collaborate with cross-functional teams to foster data-driven decision-making. Enhance data workflows and boost system performance.

Join Our Team as a Senior Lead Data EngineerAre you passionate about data and technology? At Brillio, we are seeking a highly skilled Senior Lead Data Engineer to guide our data engineering initiatives. You will play a pivotal role in driving data strategy, architecture, and implementation across our projects, ensuring that we leverage data to deliver exceptional solutions for our clients.

Role overview Forbes Advisor seeks a Lead Data Engineer based in Chennai. The position centers on designing and building data infrastructure to support business strategy and deliver insights. Maintaining data integrity and ensuring that information is available to those who need it are key priorities. Main responsibilities Direct the architecture and implementation of data systems Convert raw data into insights that inform business decisions Collaborate with teams across the company to understand and meet their data needs Create solutions that enable better decision-making through data Collaboration This role works closely with cross-functional teams. Gathering input, clarifying requirements, and delivering tailored data solutions are part of daily work to address real business challenges.

Join the dynamic team at Minderacraft as a Team Lead Data Engineer. We are looking for a motivated and talented individual who possesses extensive experience in AWS cloud services, Databricks, Apache Spark, Python, and SQL. Your role will be pivotal in designing, developing, and optimizing data pipelines and analytical solutions that drive key business initiatives.Primary Responsibilities:Architect and maintain robust data pipelines and transformation workflows utilizing Databricks and Spark.Develop and enhance ETL/ELT processes to efficiently manage large datasets.Leverage AWS services such as S3, Lambda, IAM, ECS, and CloudWatch to meet data architecture and operational requirements.Collaborate with data analysts, scientists, and business stakeholders to gather requirements and convert them into effective technical solutions.Ensure the integrity, reliability, and performance of all data systems.Advocate for and implement best practices in coding, version control, continuous integration/deployment, and environment management.Monitor, troubleshoot, and ensure the high availability of data pipelines.Contribute to architectural design decisions, documentation, and process enhancements.Qualifications:Proven experience with AWS Cloud (including S3, Lambda, IAM, EC2 or similar).In-depth knowledge of Databricks, Delta Lake, and Unity Catalog.Strong proficiency in Apache Spark (preferably PySpark).Excellent programming skills in Python.Advanced SQL skills, with experience in performance tuning and managing large datasets.Adept at thriving in fast-paced, agile environments.Strong analytical and problem-solving capabilities, with a proactive mindset to drive improvements.Exceptional communication and stakeholder management skills, capable of engaging with diverse teams.Familiarity with data governance tools and frameworks (e.g., DataHub, Soda).Experience with CI/CD tools like GitHub Actions.Availability: Must accommodate meetings and calls in US Pacific Time (PT).Personal Attributes:Self-motivated, accountable, and proactive.Strong ownership mentality with the ability to work independently.Adept at engaging with both technical and non-technical stakeholders.Passionate about building reliable, scalable, and high-quality data systems.

About the RoleJoin our innovative team at Brillio as a Lead Data Engineer specializing in Microsoft Fabric. We are looking for a seasoned professional with over 7 years of experience in data engineering. In this pivotal role, you will spearhead the design, development, and deployment of data pipelines, optimizing data movement and integration within the Microsoft Fabric ecosystem.Key Responsibilities- Data Pipeline Development: Create, develop, and implement data pipelines using Microsoft Fabric, incorporating OneLake, Data Factory, and Apache Spark for efficient, scalable, and secure data operations.- ETL Architecture: Design and execute ETL workflows tailored for Fabric’s integrated data platform to enhance data ingestion, transformation, and storage processes.- Data Integration: Develop and maintain solutions that consolidate both structured and unstructured data sources into Fabric’s OneLake environment, utilizing SQL, Python, Scala, and R for advanced data handling.- Fabric OneLake & Synapse: Utilize OneLake as the central data repository to facilitate enterprise-level analytics, seamlessly working with Synapse Data Warehousing for comprehensive big data processing and reporting.- Cross-functional Collaboration: Collaborate with Data Scientists, Analysts, and BI Engineers to ensure that Fabric’s data infrastructure effectively supports Power BI, AI workloads, and advanced analytics.- Performance Optimization: Oversee, troubleshoot, and enhance Fabric pipelines to ensure high availability, rapid query performance, and minimized downtime.- Data Governance & Security: Enforce governance and compliance frameworks within Fabric, ensuring data lineage, privacy, and security across the unified platform.- Leadership & Mentorship: Lead and mentor a talented team of engineers, overseeing Fabric workspace design, code reviews, and the implementation of new Fabric features.- Automation & Monitoring: Automate workflows using Fabric Data Factory, Azure DevOps, and Airflow to ensure operational efficiency.- Documentation & Standards: Thoroughly document Fabric pipeline architecture, data models, and ETL processes while contributing to engineering best practices and enterprise guidelines.- Innovation: Stay abreast of Fabric’s evolving functionalities (such as Real-Time Analytics and AI integration) and foster a culture of innovation within the team.

About ValGenesis ValGenesis stands at the forefront of digital validation solutions tailored for life sciences. Our innovative platform is embraced by 30 of the top 50 pharmaceutical and biotech companies globally, enabling them to drive digital transformation, ensure total compliance, and achieve manufacturing excellence throughout their product lifecycle. Discover more about the exceptional work environment at ValGenesis, recognized as the industry standard for paperless validation in Life Sciences: valgenesis.com/about

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as a Data Scientist and Data Engineer. In this exciting role, you will leverage your expertise in data science and engineering to drive innovative solutions and enhance data-driven decision-making across various projects.

Senior Data Science LeadJoin our dynamic team at Brillio as a Senior Data Science Lead in Chennai! In this pivotal role, you will spearhead innovative data science initiatives, leveraging advanced analytics and machine learning techniques to drive business outcomes. You will collaborate with cross-functional teams to develop cutting-edge solutions that harness the power of data.

Senior Data Science LeadAs a Senior Data Science Lead, you will spearhead innovative data solutions and guide our talented team of data scientists. Your expertise will be crucial in leveraging data analytics to drive strategic decision-making and enhance business outcomes. You will collaborate with cross-functional teams, employing advanced data models and machine learning techniques to solve complex problems and deliver actionable insights.

Join Our Team as a Senior Data Science Lead!Are you ready to take your data science expertise to the next level? At Brillio, we are seeking a passionate Senior Data Science Lead to guide our innovative projects in AI & Data Engineering. You will play a pivotal role in leveraging advanced analytical techniques to drive business solutions. If you're eager to make an impact and lead a talented team, we want to hear from you!

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as a Data Engineer! We are looking for skilled professionals who are passionate about data management and analytics. In this role, you will be responsible for designing and implementing data pipelines, ensuring data accuracy, and optimizing data processes.

We are seeking a talented and experienced Big Data Architect to join our dynamic team at Squircle IT Consulting Services Pvt Ltd. In this pivotal role, you will design and implement scalable data architectures that enable our clients to leverage vast amounts of data for insights and decision-making.Your expertise in big data technologies and architecture will be essential in driving our projects forward. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data solutions meet the highest standards of performance and reliability.

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as a Big Data Hadoop Engineer. In this pivotal role, you will leverage your expertise in big data technologies to design, implement, and maintain robust data processing systems that drive data-driven decision-making. You will work closely with cross-functional teams to develop scalable solutions that enhance our data capabilities.

Join our innovative team at Moving Walls India Pvt Ltd as a Data Engineer, where you will play a crucial role in driving data solutions and analytics to support our business objectives. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to tackle complex data challenges.

About Gen Digital Gen Digital is a global company focused on digital freedom and security. Our brands include Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. We provide cybersecurity, online privacy, identity protection, and financial wellness products. Our mission centers on helping people manage and secure their digital and financial lives. We value diverse experiences and ideas, and we see AI as a partner for innovation. Gen Digital encourages autonomy, supports career growth, and offers flexible work options, generous time off, competitive pay, and wellness programs. The company culture emphasizes customer satisfaction, open discussion, experimentation, and continuous learning. Team members collaborate in an environment that respects and values differences as strengths. Senior Staff Data Engineer – Role Overview The Senior Staff Data Engineer will serve as a senior technical leader within the organization. This role focuses on designing and implementing large-scale data solutions that support Gen Digital’s cybersecurity platform strategy. The position combines deep technical skill with organizational influence. Key responsibilities include: Designing complex data architectures for enterprise-scale needs Implementing solutions that support a multi-petabyte data infrastructure Mentoring and guiding engineering teams Shaping the technical vision for data systems serving millions of users Location Chennai, India

About Us:BigID is a pioneering tech startup specializing in cutting-edge solutions for data security, compliance, privacy, and AI data management. We are at the forefront of the data landscape, empowering our customers to mitigate risks, foster business innovation, achieve compliance, build trust, make informed decisions, and maximize the value of their data.We are committed to building a global team united by a passion for innovation and advanced technology. BigID has received numerous accolades, including:Named a Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec AwardsListed in Citizens JMP Cyber 66 as one of the Hottest Privately Held Cybersecurity CompaniesCRN 100 list recognizes BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies for three consecutive yearsRanked among the DUNS 100 Best Tech Companies to Work forFeatured as a Top 3 Big Data and AI Vendor to Watch in the 2023 BigDATAwire Readers' and Editors' Choice AwardsIncluded in the 2024 Inc. 5000 list for the fourth consecutive year!Shortlisted for the 2024 AI Awards in the Best Use of AI in Cybersecurity categoryAt BigID, our team is the cornerstone of our success. Join our dynamic, people-centric culture where you’ll have the opportunity to collaborate with some of the most talented professionals in the industry who prioritize innovation, diversity, integrity, and teamwork.Who We Are Looking For:We are on the hunt for a Senior Data Platform Engineer to enhance our Data Platform team. The ideal candidate will possess substantial experience in data engineering, particularly with Kafka and Elasticsearch, to design and maintain our robust data platforms. You will collaborate closely with cross-functional teams to ensure the scalability and reliability of our data solutions.Role Overview:As a Senior Data Platform Engineer, you will be instrumental in the design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your proficiency in Elastic, Kafka, and Node.js will play a vital role in ensuring the scalability and performance of our data systems.Key Responsibilities:Develop data processing pipelines utilizing Kafka for real-time data streaming.Enhance and manage search functionalities leveraging Elastic technologies.Work alongside product managers, data analysts, and stakeholders to gather requirements and translate them into technical specifications.Lead code reviews and promote best practices in coding and data handling.

At PDI Technologies, we empower many of the world’s leading convenience retail and petroleum brands through innovative technology solutions that foster growth and enhance operational efficiency.By connecting convenience globally, we enable businesses to boost productivity, make informed decisions, and engage customers rapidly through loyalty programs, shopper insights, and unparalleled real-time market intelligence via mobile applications like GasBuddy. We are a global team dedicated to excellence, collaboration, and delivering real impact. Join us and be part of a company that prioritizes diversity, integrity, and growth.Role Overview:PDI Technologies is in search of a Product Owner specializing in Data to enhance the data capabilities of our loyalty solutions. This role is perfect for a passionate Product Owner with experience in driving data-centric products and enabling teams that deliver scalable data services, analytics, reporting capabilities, and data pipelines. As the Product Owner for the Loyalty Data team, you will collaborate with engineering, Product Managers, analysts, customers, and business stakeholders to define and implement high-impact data features that enhance consumer-facing loyalty experiences, operational reporting, segmentation, personalization, and downstream integrations. You will be responsible for driving product requirements related to data ingestion, data modeling, data quality, APIs, event streams, and insights, ensuring that the Loyalty Platform remains robust, reliable, and optimized for data-driven business outcomes. Prior experience with data platforms, data engineering workflows, analytics tools, or consumer data systems (CRM, loyalty, personalization engines) is highly preferred.

Join our dynamic team as a Technology Engineer specializing in DevOps, containerization, and big data technologies. In this pivotal role, you will drive enterprise-level digital and data platform initiatives, ensuring the design, implementation, and optimization of scalable infrastructure and data solutions.Key ResponsibilitiesDevOps & CI/CDDesign, implement, and maintain robust CI/CD pipelines leveraging tools such as Jenkins and GitOps.Automate build, deployment, and release processes to enhance operational efficiency and reliability.Containerization & OrchestrationDeploy and manage containerized applications utilizing Kubernetes and OpenShift.Ensure high availability, scalability, and resilience of applications.Infrastructure as Code (IaC)Develop and manage infrastructure using Terraform, Ansible, or comparable tools.Maintain version-controlled infrastructure to promote consistency and scalability.Big Data EngineeringArchitect and implement data solutions with Hadoop, Spark, and Kafka.Manage large-scale data processing and streaming pipelines.Distributed SystemsDesign and oversee distributed data architectures.Optimize data storage and processing performance across various systems.CollaborationEngage closely with engineering, DevOps, and data teams to deliver comprehensive solutions.Translate business and technical requirements into scalable implementations.Monitoring & Performance OptimizationImplement monitoring, logging, and alerting solutions.Continuously enhance system performance, reliability, and cost-efficiency.Security & ComplianceEnsure that infrastructure and data platforms adhere to security best practices.Maintain compliance with enterprise and regulatory standards.