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Tier-1 employer, Bangalore location, popular backend/data role with mid-level experience and broad skill requirements.
Core data engineering and backend skills transferable, but domain-specific benchmarking experience increases industry sensitivity.
Explicit 5–10 years requirement and mandatory database/data engineering skills plus cloud and ETL tool expertise.
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Design, build, and maintain databases for benchmarking, target setting, and performance data including actuals and initiatives.
Develop secure, reliable data connections and automate data pipelines integrating internal and external sources with API integrations.
Collaborate with analysts, business leads, and IT teams to support enterprise-wide benchmarking and performance insights with a focus on data integrity, security, and accessibility.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
5–10 years of experience in database development, data engineering, or systems integration.
Proficiency in SQL and experience with relational and non-relational databases plus ETL processes and API integrations.
Knowledge of ETL tools/platforms like Azure Data Factory, Databricks, AWS, Google Cloud, and experience with data governance and security best practices.
Experienced in building and maintaining scalable, secure data infrastructures that support data-driven business decisions.
Comfortable working collaboratively across business, analytics, and technical teams in a global enterprise environment.
Demonstrated ability to optimize workflows, automate data pipelines, and apply AI/ML techniques to enhance data quality and insights.