Job DescriptionRole: AWS Data Engineer
NExperience: 8+ Years
NWork location: Hyderabad
NTechnical Skills:
NProven experience as a Data Engineer or in a similar role.
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NStrong proficiency in SQL scripting.
NProficiency in Pythonfor data manipulation and automation
NExperience with Apache Airflow for workflow orchestration
NHands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.
NSolid understanding of data warehousing concepts, with practical experience using Snowflake. Enhance Operational Efficiency: Reduce Job Monitoring Time, Decrease Manual Operations.
NStrengthen Data and Infrastructure: Improve Data Quality, Accelerate Cloud Migration .
NDeepen Architectural and Cross-Functional Understanding: Enhance System Architecture Knowledge, Map Cross-Functional Dependencies
NJob Description:
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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. N




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

📌 Hiring: Senior Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad