Senior Data Engineer - SQL (Secunderabad)

Senior Data Engineer - SQL (Secunderabad)

27 Oct
|
Providence India
|
Secunderabad

27 Oct

Providence India

Secunderabad

We are looking for a skilled Data Engineer (2P level) with 3 – 5 years of experience in building, optimizing, and maintaining data pipelines, data integration workflows, and analytical data solutions. The ideal candidate will have solid hands-on expertise with Snowflake SQL, Azure Data Factory (ADF), ETL Pipelines and Python.

Data Pipeline Development & Maintenance: - Design and maintain scalable ETL/ELT pipelines using ADF.

Develop ingestion, transformation, and validation logic using Snowflake SQL and Python.

Data Warehousing & Modeling: - Build and optimize warehouse structures and models in Snowflake.

Support data marts and reporting layers.

BI & Analytics Integration: - Ensure seamless integration with Power BI.

Data Quality, Governance & Monitoring: - Implement validation routines and monitoring processes.

Participate in governance and follow data security standards.

Documentation: - Document dataflows, ETL logic, and operational procedures.

Experience: 3 to 5 years of hands-on experience in data engineering,



particularly in data warehouse development and ETL pipeline design.

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Proven experience with Azure Data Factory.

Expertise in Snowflake for data warehousing, query optimization, and storage management.

Strong SQL skills and experience with contemporary ETL tools (e.g., Azure Data Factory, Snowflake).

Data Modeling: Ability to design scalable data models for analytics use cases.

Strong analytical mindset to troubleshoot and optimize complex data issues.

Ability to work effectively with cross-functional teams, including data analysts, BI developers, and business stakeholders.

Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical audiences.

Experience in designing and managing ELT/ETL workflows in ADF.

~ Industry Knowledge: Familiarity with the healthcare industry and its data analytics needs.

📌 Senior Data Engineer - SQL (Secunderabad)
🏢 Providence India
📍 Secunderabad

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