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Well-known services company, metro location, and generalist data role drive high applicant competition.
BigQuery, SQL, and Python skills transfer easily across industries, lowering background sensitivity.
Mandatory 7+ years and specific BigQuery, Teradata, SQL, Python requirements increase shortlisting strictness.
Own end-to-end data validation and migration from on-premises Teradata to GCP BigQuery for a wholesale banking data mart.
Develop and execute data validation scripts using Python and SQL to ensure data accuracy, integrity, and parity with source data.
Optimize BigQuery performance for analytical workloads and support post-migration validation and production sign-off.
7+ years of relevant work experience.
Strong expertise in Google BigQuery and SQL, with advanced query optimization skills.
Experience with RDBMS platforms, preferably Teradata, and cloud migration projects for data validation and reconciliation.
Bachelor’s degree in BE/MBA/BCA/MCA or equivalent.
Experienced in banking domain or regulatory/financial reporting environment is preferred but not mandatory.
Demonstrates strong data analytical skills and hands-on experience with data warehousing and performance tuning.
Capable of handling large-scale data modernization involving validation, migration, and reconciliation in cloud and on-prem environments.