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

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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