- Design, develop, and maintain ETL/ELT data pipelines to ingest data from various sources, including databases and flat files, into our data warehouse.
- Utilize AWS services such as AWS Lambda, AWS DMS, and AWS Glue for data ingestion and transformation processes.
- Develop and optimize Snowflake stored procedures to implement complex business logic and data transformations.
- Manage and monitor scheduled data workflows using Apache Airflow.
- Work closely with stakeholders to understand project requirements and translate them into technical solutions, ensuring seamless integration with existing data pipelines.
- Implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports.
- Adhere to the full project delivery lifecycle, including requirements gathering, design, implementation, documentation, and obtaining user acceptance testing (UAT) approvals.
- Deliver data sets to other AWS accounts and support the creation of Power BI reports.

📌 AWS Data Engineer (Secunderabad)
🏢 ValueLabs
📍 Secunderabad