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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, popular Data Engineer title, metro Pune and broad required skills drive high competition.
Technical data engineering skills are transferable, but enterprise banking/regulatory experience increases domain specificity.
Multiple mandatory platform skills (Databricks, Spark, Snowflake), regulated bank environment, and leadership expectation raise strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Ensure availability, performance, and scalability of data engineering systems through proactive monitoring, capacity planning and incident resolution.
Lead design, development, and optimization of enterprise-scale data platforms and data products using Databricks, Snowflake, Spark, and cloud technologies.
Drive platform modernization initiatives, build scalable data pipelines, and lead a team of data engineers to deliver business-critical data solutions.
Minimum Requirements
Strong expertise in Databricks Lakehouse Platform, Apache Spark (PySpark, Spark SQL), and Python programming.
Experience with Delta Lake, Unity Catalog, Databricks Workflows, SQL tuning, Linux scripting, orchestration tools (TWS, Airflow), and AWS services (Glue, Lambda, S3, Lake Formation, Athena).
Experience in ETL/ELT frameworks, CDC, data quality, governance, metadata management, lineage, and catalog solutions.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune, India.
Ideal Candidate Profile
Experienced in large-scale enterprise environments, preferably Banking, Financial Services, or regulated industries.
Capable of leading complex cross-functional initiatives integrating reliability, scalability, and performance best practices.
Able to influence stakeholders and manage risk in data platform modernization and operational effectiveness.