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Popular Data Engineer title but niche Snowflake specialization and smaller employer yield moderate competition.
Requires Snowflake skills plus FS domain experience, limiting cross-industry transferability.
Mandatory Snowflake expertise and financial-services domain experience increase screening rigidity.
Design, build, and manage scalable data solutions on the Snowflake platform with a focus on performance tuning, query optimization, and efficient resource usage.
Support data migration from RDBMS to Snowflake and optimize data pipelines for cost and system performance.
Manage secure data environments including access control and governance, and mentor junior developers while handling incident management and environment stability.
Expertise with Snowflake tools including Snow SQL, Snow pipe, and ETL/ELT pipelines development and deployment.
Experience migrating data from RDBMS to Snowflake cloud data warehouse.
Domain background in Financial Services/banking.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing Snowflake objects and optimizing workloads for performance and cost.
Familiar with data warehousing, data modelling, and ETL concepts, with additional exposure to cloud platforms like Azure or AWS.
Capable of coordinating across teams for deployment, incident handling, and enforcing best practices, showing a proactive approach to improving data processes.