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Tier-1 brand, mid-level generalist Big Data role in metro with broad skills attracts high competition.
Big Data and Snowflake skills are broadly transferable, though banking domain experience creates moderate industry preference.
Explicit 3–7 years, mandatory Snowflake/Azure/Spark skills and team management increase shortlisting strictness.
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Lead migration and testing of retail banking data applications to Snowflake and Lakehouse platforms using Big Data technologies like Apache Spark, Hive.
Automate processes to improve testing efficiency and manage DevOps activities related to migration.
Act as SPOC for the team, coordinate with geographically distributed teams, and participate in agile ceremonies, ensuring defect-free releases and producing relevant metrics.
3 to 7 years of experience on Big Data platforms with at least 2 years implementing DWH on Snowflake.
Proven experience with cloud platforms, preferably Azure data services.
Strong skills in SQL and at least one of Scala or Python; good understanding of Apache Spark, Hadoop, and data migration from on-premise to Snowflake.
Experience in building ELT/ETL processes, performance tuning in Snowflake, and troubleshooting data pipeline issues.
Experienced individual contributor comfortable with hands-on Big Data migration, testing, and automation in a complex banking data environment.
Able to communicate effectively with technical and non-technical stakeholders across diverse, distributed teams.
Experienced team mentor with strong troubleshooting and analytical skills working with distributed computing and cloud data services.