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Principal responsibilities Be part of a team to ensure integrity, performance and reliability of DB Be part of a team migrating from On-prem Oracle DB to the Google Cloud Platform New implementations on Google Cloud Platform (especially Big Query solution) Develop APIs to expose datawarehouse data (on GCP) to internal and external applications via Kong Gateway. Estimation, Documentation for developments planned for the year Work closely with Business Users to capture new requirements and pain points Support the Live Environment, providing Level 3 support and resolving issues Performing Impact Analysis on requested changes Requirements Experience in Building ETL pipelines including SCD types natively in SQL. Understanding of Dimensional Data modelling, Kimball DW methodology, facts, dimension, SCD Types, Star schema Design Proficiency in writing performant/modular SQL, using CTEs, window functions, procedures, packages, materialized views, partitioning on MPP Data warehouses like Oracle / BigQuery / Snowflake etc. Experience in integrating data from diverse sources such as DB2, MS SQL, Oracle and files like Avro/parquet/csv Using python to ingest data from various data sources, stand up APIs using frameworks like Flask. GCP Big query and its various features like Authorized views, clustering, partition pruning etc. Using Git, GitHub, Jenkins or similar CICD tools Knowledge of Agile engineering practices is essential Knowledge of Agile technologies, ie Jira, GITHUB etc is essential