Job Summary

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.

Key Responsibilities
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.
Collaborate with BI teams to optimize reporting models.
Data Quality, Governance & Monitoring: - Implement validation routines and monitoring processes.
Participate in governance and follow data security standards.
Collaboration & Stakeholder Engagement: - Work with analytics teams and business stakeholders to understand requirements.
Communicate pipeline status and issues.
Documentation: - Document dataflows, ETL logic, and operational procedures.

Required Skills and Qualifications:
Experience:



3 to 5 years of hands-on experience in data engineering, particularly in data warehouse development and ETL pipeline design.
Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Technical Proficiency:

i. Proven experience with Azure Data Factory.

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

iii. Solid SQL skills and experience with up-to-date ETL tools (e.g., Azure Data Factory, Snowflake).
Data Modeling: Ability to design scalable data models for analytics use cases.
Problem-Solving: Robust analytical mindset to troubleshoot and optimize complex data issues.
Collaboration: Ability to work effectively with cross-functional teams, including data analysts, BI developers, and business stakeholders.
Communication: Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical audiences.

Preferred Qualifications:
Technical Proficiency:

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 Hyderabad
🏢 PROVIDENCE GLOBAL CENTER
📍 Hyderabad