Lead Databricks Engineer with Pyspark & Python
Zortech Solutions
Role: Lead Databricks Engineer with Pyspark & Python Exp
Location: NYC, NY OR Iselin, NJ (Hybrid - 3 days' work from office)
Duration: 6+ Months
Inperson interview is must, Expenses will be paid for in-person if not local
(Financial background is must)
Major Responsibilities:
Location: NYC, NY OR Iselin, NJ (Hybrid - 3 days' work from office)
Duration: 6+ Months
- uery/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
Inperson interview is must, Expenses will be paid for in-person if not local
(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.
- 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/BigqExperience with Cloud based data architectures, messaging, and analytics
- Superior communication skills
- Cloud certification(s)
- Any experience with Regulatory Reporting is a Plus
- Minimally a BA degree within an engineering and/or computer science discipline
- Master's degree strongly preferred
Vacancy posted 1 day ago
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