The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.
- Years of experience: 8 to 10 years
Focus: Reliability, Automation, and Data Quality. The Engineer turns the architect's blueprint into a working, automated reality.
- Key Responsibilities:
- Build and maintain ETL/ELT pipelines to move data from source to storage.
- Implement automated data quality testing and observability alerts.
- Optimize data storage formats (e.g., Parquet, Delta Lake) for high-speed querying.
- Manage CI/CD pipelines for data code deployment.
- Create interactive visualizations with actionable insights by persona
- Deliverables: Production-ready optimized data pipelines, Cleaned datasets, interactive & intelligent dashboards.
- Tech Stack - AWS
- Data Ingestion & Processing : AWS API Gateway, AWS Lambda, AWS Glue ETL, AWS Glue Crawler
- Data Storage & Analytics : Amazon S3, Amazon Redshift (Data Warehouse), Amazon Athena
- Governance & Security : AWS Lake Formation, AWS IAM, AWS CloudTrail, Amazon CloudWatch
- AI & Analytics : AWS Bedrock
- Visualization : Amazon QuickSight
- Visa Requirement: Preferred USA B1 Business Visa with a minimum validity of 2 years
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
