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Niche Dataiku skillset and seniority reduce pool, but Bangalore location and Capco/Wipro brand increase competition.
Core Data engineering skills (Dataiku, SQL, Python) are broadly transferable across industries despite banking context.
Explicit 7–8 years plus mandatory Dataiku, SQL, Python and datawarehousing expertise makes filters strict.
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Design, build, maintain, and optimize end-to-end data pipelines and analytic solutions using Dataiku DSS, PostgreSQL, Teradata, and Python.
Translate business requirements into scalable data models, ETL workflows, and self-service analytics ensuring data quality and governance compliance for BNP Paribas group.
Lead CI/CD automation for Dataiku projects, monitor pipeline performance on cloud infrastructure, troubleshoot production issues, and mentor junior team members.
7 to 8 years experience in data warehousing with strong hands-on Dataiku DSS expertise.
Proficient in SQL programming, especially with PostgreSQL or Teradata; strong Python programming skills including OOP, scripting, and debugging within Dataiku.
Bachelor's Degree in IT, Computer Science or related field, or equivalent experience.
Experience with CI/CD (GitLab), cloud platforms (Kubernetes Engine, IBM Cloud), and data warehousing concepts (dimensional modeling, ETL, data vault).
Experienced data engineer focused on robust and scalable data pipeline design in a financial services environment, specifically supporting BNP Paribas data standards.
Capable of working in an Agile, cross-functional French-Indian extended team and collaborating closely with business analysts, data architects and other technical roles.
Strong ownership in automating deployments and maintaining data quality with ability to mentor others and contribute to knowledge sharing within the team.