Databricks Engineer with Python and SQL Jobs in NYC, NY

Hello,

Greeting form E_IT

Databricks Engineer with Python and SQL Exp (Financial background is a must)

NYC, NY OR Iselin, NJ (Hybrid – 3 days’ work from office)

Contract Position

Client: Persistent Systems

Experience: 10+ Years 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 Snow SQL and Snow Pipe – 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)