Integration Data Engineer

Integration Data Engineer

MUST be local to Iselin, NJ, Hybrid Schedule at least 3 days onsite

Salary Range: $77k to $135k

No Sponsorship Available

We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate 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:

• 5+ years - Enterprise Data Management
• 5+ 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 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) preferred
• 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