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 strong 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 positive 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 appropria

📌 ETL SQL (Chennai)
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