Role: AWS Data Engineer Experience: 8+ Years Work location: Hyderabad Technical Skills: Proven experience as a Data Engineer or in a similar role.

- Solid proficiency in SQL scripting. Proficiency in Python for data manipulation and automation Experience with Apache Airflow for workflow orchestration Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue. Solid understanding of data warehousing concepts, with practical experience using Snowflake.

Enhance Operational Efficiency: Reduce Job Monitoring Time, Decrease Manual Operations.

Strengthen Data and Infrastructure: Improve Data Quality, Accelerate Cloud Migration .

Deepen

Architectural and Cross-Functional Understanding: Enhance System Architecture Knowledge, Map Cross-Functional Dependencies :

- 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.

📌 Senior Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad