Databricks Engineer Pyspark & Python Exp

Databricks Engineer

Location:

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

This position is for a Cloud Data / Reporting engineer with a background in SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.

Major Responsibilities:

• 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
• Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

• 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. Snowflake experience is good to have
• 3+ years Python (numpy, pandas) coding experience
• 3+ years’ experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints.
• Experience with Snowflake utilities such as SnowSQL 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)
• Any experience with Regulatory Reporting is a Plus

Education:

• Minimally a BA degree within an engineering and/or computer science discipline