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Mid-level, generalist data-platform role in Bangalore with broad skillset and recognizable employer increases competition.
Strong BFSI domain and regulatory experience required, limiting cross-industry transferability.
Requires 5-7 years BFSI domain experience and extensive mandatory data platform skills and certifications.
Own strategy, roadmap, and implementation of enterprise-scale data engineering platforms for analytics, AI/ML, and regulatory needs in banking environments.
Design and lead scalable, secure, resilient data architectures and ETL/ELT pipelines across data lakes, warehouses, and lakehouses.
Provide technical leadership for platform development, modernization, governance, operations, and reliability ensuring compliance with European banking regulations.
5 to 7+ years of experience in banking or BFSI domain with proven data engineering expertise.
Strong skills in SQL, Python (with PySpark/Spark), data pipeline design, and cloud data platforms (Azure, AWS, or GCP).
Experience with big data technologies (Spark, Hadoop), streaming platforms (Kafka), and orchestration tools (Airflow, Control-M, TWS).
Knowledge of GDPR, data privacy, security, and banking data domains (Payments, Cards, Lending, Credit, Finance, Risk, Regulatory Reporting).
Proven ability to manage complex, multi-country banking data engineering platforms balancing delivery, stability, fintech regulation, and modernization.
Experienced leader with capability in stakeholder management, architecture governance, vendor coordination, and cost optimization in enterprise environments.
Strong technical governance and communication skills to translate regulatory and business needs into scalable technical solutions.