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

Job Description:
* 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