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Mid-level, generalist Data Engineer in metros at a known employer increases candidate competition.
Core Azure ADF and SQL data engineering skills are highly transferable across industries.
Mandatory ADF, SQL and DB engineering skills create moderately strict technical screening despite no explicit years.
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.
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.
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.