Lead Data Engineer - R01558578
full-time•Bengaluru
About this role
Lead Data Engineer
\n- Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front
- AWS Data EngineerIng Basic: Data Specialist
- Data Product Engineer An experienced Data Product Engineer with 5+ years of hands-on expertise in building, delivering, and supporting data-driven solutions that serve both operational and analytical customers. Adept at translating raw data into actionable insights and production-ready data products, ensuring scalability, security, and integration with modern digital ecosystems. Core Responsibilities: Collaboratively build, maintain, and monitor high-quality Data Products for diverse customer needs. Act as a subject matter expert, with strong understanding of both technical and business aspects of data. Ensure compliance with data security standards while maintaining clear documentation and knowledge sharing. Apply Software Engineering principles (CI/CD, Git, TDD, DOD, Agile) to data workflows for seamless ecosystem integration. Manage end-to-end data lifecycle: ingestion, transformation, storage, and provisioning. Technical Skillset: Data Engineering & Analytics: Data pipelines, ETL/ELT, data modeling, analytics, and visualization. Cloud Platforms: AWS: S3, Redshift, Athena, Lambda, Glue, CodePipeline, CloudFormation, SNS. Microsoft Azure & Google Cloud (working knowledge). Data Tools & Frameworks: SSIS, Databricks, Spark, SQL, Python, R, Scala. Databases: SQL Server, DynamoDB, ArangoDB. File Formats: JSON, XML, Parquet, CSV. Visualization & Exploration: QuickSight, Tableau, Excel Collaboration & Documentation: Miro, Confluence. Core Competencies: Product Thinking with customer-centric mindset. Strong planning, communication, and organizational skills. Proficient in version control (Git/GitHub), CLI scripting (Bash, PowerShell, AWS CLI). Agile and Test-Driven Development mindset. Familiarity with modern data management concepts (Data Mesh, Event Streaming).
What you'll do
- Collaboratively build, maintain, and monitor high-quality Data Products for diverse customer needs. Ensure compliance with data security standards while maintaining clear documentation and knowledge sharing.
About Brillio
Brillio is The Enterprise AI Accelerator helping Fortune 1000 companies move from AI ambition to scaled impact, faster. Powered by our AI accelerator platform - Agentic Data and Application Management (ADAM), Brillio is one of the fastest-growing digital technology service providers, delivering transformation across five core workstreams: business-led transformation, customer experience transformation, AI and data engineering, digital engineering, and infrastructure engineering.
With 14 delivery locations across North America, Europe, and Asia and a team of over 6,000 customer-obsessed professionals, Brillio combines deep industry expertise, modern engineering, and accelerators to deliver measurable outcomes.
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Frequently Asked Questions
What does a Lead Data Engineer - R01558578 do at Brillio?
As a Lead Data Engineer - R01558578 at Brillio, you will: collaboratively build, maintain, and monitor high-quality Data Products for diverse customer needs. Ensure compliance with data security standards while maintaining clear documentation and knowledge sharing..
Is the Lead Data Engineer - R01558578 position at Brillio remote?
The Lead Data Engineer - R01558578 position at Brillio is based in Bengaluru, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the Lead Data Engineer - R01558578 position at Brillio?
You can apply for the Lead Data Engineer - R01558578 position at Brilliodirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.