ETL SQL / Enterprise Data Framework Developer
Location: Hyderabad
Experience: 3–6 Years
Employment Type: Full-Time
Job Summary
We are seeking an experienced ETL SQL / Data Engineer with solid expertise in SQL development, ETL data pipelines, Stored Procedures, Views, Autosys scheduling, and Enterprise Data Framework (EDF).
The candidate will be responsible for developing and maintaining data pipelines that extract data from multiple source systems, process and validate the data through EDF modules, and load it into target platforms such as Data Lake and Snowflake.
The ideal candidate should have strong SQL coding skills, hands-on experience with DBeaver, and a good understanding of data integration using flat files and REST APIs. Experience working with enterprise-scale data pipelines and scheduling frameworks is highly desirable.
Key Responsibilities
ETL & SQL Development
Develop, maintain, and optimize ETL SQL code for enterprise data pipelines.
Write complex SQL queries for data extraction, transformation, validation, reconciliation, and loading.
Develop and maintain:




Stored Procedures
Views
SQL scripts
Data transformation logic
Data validation and reconciliation queries
Analyze source data and determine appropriate transformation and mapping logic.
Optimize SQL queries for performance and scalability.
Perform data quality checks and troubleshoot data discrepancies.
Ensure data pipelines meet defined business and technical requirements.
Enterprise Data Framework (EDF)
Develop new Enterprise Data Framework (EDF) jobs to support enterprise data processing requirements.
Work extensively with EDF to design, build, test, deploy, and support data pipelines.
Understand and utilize EDF modules including:
Data Processing Pipeline (D2P)
Data Control and Anomaly Detection Framework (DCAF)
General-Purpose Data Reconciliation (GPR)
Build EDF jobs to extract data from source systems and process the data through the appropriate EDF modules.
Configure data processing, validatio

📌 ETL SQL (Hyderabad)
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📍 Hyderabad