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Senior, specialized Databricks role at a known bank in Bangalore creates moderate applicant competition.
Banking domain preference and governance-focused platform responsibilities moderately limit cross-industry transferability.
Explicit 10–16 years, required Databricks/data engineering experience, and certification preferences make screening strict.
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Build reusable enterprise assets and define platform standards and best practices for Databricks usage within the Data Engineering Center of Excellence.
Integrate Databricks with cloud services (AWS/Azure), including storage, IAM, and event services, and implement Unity Catalog, Data Lineage, Access Governance, and Auditing standards.
Define and enforce data quality, observability, and FinOps monitoring for large-scale data processing solutions.
10–16 years of IT experience, including 6-8 years in Data Engineering/Big Data platforms and 2-4 years specifically with large-scale data processing on the Databricks Platform.
Skills required: Databricks (DBX), PySpark, Spark SQL, Delta Lake, SQL Warehouse, AWS Cloud Platform, CI/CD, and Data Governance.
Experience in Banking and Financial Services domain.
Preferred (not mandatory): Databricks Certification and knowledge of MLFlow.
Experienced in building and maintaining scalable Data Engineering enterprise assets within large organizations.
Comfortable working with cross-cultural, multi-geographical teams and communicating effectively with stakeholders in locations including Singapore and Paris.
Familiar with Agile methodology and applying strong data governance and operational monitoring in production environments.