Job Description

Role: AWS Data Engineer

/n

Experience: 8+ Years

/n

Work location: Hyderabad

/n

Technical Skills:

/n

Proven experience as a Data Engineer or in a similar role. -

/n

Robust proficiency in SQL scripting.

/n

Proficiency in Python for data manipulation and automation

/n

Experience with Apache Airflow for workflow orchestration

/n

Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.

/n

Solid understanding of data warehousing concepts, with practical experience using Snowflake. Enhance Operational Efficiency: Reduce Job Monitoring Time, Decrease Manual Operations.

/n

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

/n

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

/n

Job Description:

/n

/n
- 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

📌 Senior Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad