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Tier-1 brand plus mid-level generalist data role with common SQL/GCP skills increases competition.
Data engineering skills like SQL, ETL, and BigQuery are highly transferable across industries.
Explicit 3+ years plus mandatory advanced SQL and BigQuery ETL skills increase shortlisting strictness.
Develop and maintain scalable ETL data pipelines on GCP BigQuery to support Google Analytics data processing and insights.
Create and optimize data visualizations and reports in partnership with business teams to enable informed decision-making.
Ensure code quality and performance optimization of SQL queries and data infrastructure adhering to Google standards.
3+ years experience with advanced SQL on large datasets.
Technical expertise in building, troubleshooting, and maintaining ETL pipelines in GCP BigQuery, including knowledge of OLAP and data warehousing.
Ability to manage multiple projects in a fast-paced environment.
Work Experience Required: Minimum 3 years as specified; Notice Period: Not explicitly mentioned in the JD.
Experienced in working directly with marketing/business teams to translate needs into data solutions and dashboards.
Comfortable maintaining and improving performance of large-scale data infrastructure on cloud platforms, specifically GCP.
Capable of code review, debugging data discrepancies, and leading design of new data products in a production environment.