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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain reusable Azure Data Factory (ADF) pipelines for enterprise data integration solutions.
Design and implement complex SQL-based data transformation logic across multiple relational databases (Azure SQL, PostgreSQL, MySQL).
Collaborate with Data Modellers and Architects to deliver scalable, maintainable data integration pipelines and support pipeline/database performance optimization and issue resolution.
Minimum Requirements
Strong hands-on experience with Azure Data Factory pipeline development.
Proven expertise in SQL development including complex queries, stored procedures, performance tuning, and working with SQL Server/Azure SQL, PostgreSQL, and/or MySQL.
Experience with ETL/ELT development and using GitHub or similar version control systems.
Work Location: Bangalore or Chennai, India; Work Hours: 45 hours per week; Hybrid work with 3 days onsite per week. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced Data Engineer comfortable working in Agile delivery teams focused on enterprise-scale data platform solutions.
Demonstrates strong engineering practices producing clean, maintainable code and contributes to best practices including code reviews and CI/CD pipeline support.
Has integration platform experience combining cloud data engineering (Azure) with multiple database technologies and performance tuning expertise.