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Integration Data Engineer

Integration Data Engineer

Brains WorkgroupIselin, NJ, United States
Hace más de 30 días
Tipo de contrato
  • Indefinido
Descripción del trabajo

Our client, a major bank in Central, NJ, is looking for  Integration 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 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
  • Please email your resume or use this link to apply directly :

    Or email :  igork@brainsworkgroup.com

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    Keywords : sql oracle python databricks etl data warehousing ssis ETL snow numpy pandas pyspark oltp olap

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