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Tier-1 brand, mid-level generalist data title, metro location, and common SQL/ETL skills create high competition.
Core SQL/ETL skills are transferable, but PLX and enterprise-process experience require moderate domain fit.
Explicit 4–6 year band plus mandatory advanced SQL, ETL and PLX skills makes shortlisting strict.
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Design, build, and maintain robust SQL-based backend data pipelines and ETL workflows supporting large-scale business operations.
Analyze complex datasets and develop optimized data models and analytical datasets to support business insights and data-driven decision-making.
Develop and maintain dashboards and analytical views, primarily using PLX and Looker Studio, ensuring accuracy and scalability aligned with business metrics.
4–6 years of hands-on experience in backend data engineering or analytics roles.
Strong expertise in advanced SQL, ETL concepts, data modeling, and data transformations.
Experience with PLX scripts and PLX dashboards.
Any Graduate degree; Engineering, Computer Science, Mathematics, or Statistics preferred.
Experienced in structured, process-driven environments supporting enterprise clients, indicating ability to work within established operational frameworks.
Proficient in advanced SQL and backend data engineering, demonstrating technical depth and operational ownership of data pipeline development.
Able to partner with cross-functional teams translating analytical requirements into scalable, well-governed datasets and dashboards.