Lead Databricks Engineer with Pyspark & Python Exp - US

New York 5 months agoFull-time External
931.3k - 1.3m / yr
Role: Lead Databricks Engineer with Pyspark & Python Exp Location: NYC, NY OR Iselin, NJ (Hybrid - 3 days' work from office) Duration: 6+ Months Job Description: Inperson interview is must (Financial background is must) Major Responsibilities: • Work on Finance data related to Collaterals, ETD, OTD, Settlement market, Cash product, Repo, Duos repo • Design, develop, and deploy Databricks jobs to process and analyze large volumes of data. • Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines. • Optimize Databricks jobs for performance and scalability to handle big data workloads. • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks. • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions. • Demonstrated proficiency with Data Analytics, Data Insights • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process • Azure Synapse/Bigquery/Redshift is good to have. • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Skills: • 5+ years' - Strong experience in Finance / Banking industry - Capital markets, investment banking - Collaterals, ETD, OTD, Settlement market, Cash product, Repo, Duos repo • 10+ years - Enterprise Data Management • 10+ years - SQL Server based development of large datasets • 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. • Azure Synapse/Bigquery/Redshift experience is good to have • 3+ years Python(numpy, pandas) coding experience • Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills • Capable of discussing enterprise level services independent of technology stack • Experience with Cloud based data architectures, messaging, and analytics • Superior communication skills • Cloud certification(s) • Any experience with Regulatory Reporting is a Plus Education: • Minimally a BA degree within an engineering and/or computer science discipline • Master's degree strongly preferred