| Hybrid - Lead Data Engineer with Databricks, Python and SQL Exp (Financial background is must) 10+ year at Remote, Remote, USA |
| Email: [email protected] |
| Note - Face to face interview is must Lead Data Engineer with Databricks, Python and SQL Exp (Financial background is must) NYC, NY OR Iselin, NJ (Hybrid 3 days work from office) Indent: SF_OP_153055-1-2 Inperson interview 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 Masters degree strongly preferred -- Keywords: business analyst information technology New Jersey New York |
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| Thu Dec 14 01:10:00 UTC 2023 |