Our client a major bank in Central NJ is looking forIntegration Data Engineer. Hybrid commute 3 days on-site in Central NJ Locations and 2 day remote per week.
This is a permanent FT career opportunity with base salary range 110 -135K DOE plus around 20% bonus and great benefits package.
Looking for 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 experience is good to have 3 years Python (Numpy Pandas) coding experience 3 years experience in Finance / Banking industry some understanding of Securities andBanking 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 Masters degree strongly preferred
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