Data Engineer

Tandym Tech
Jackson Township, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jackson Township, United States of America

Tech stack

Azure
Code Review
Information Engineering
Data Integration
ETL
Data Systems
Data Warehousing
Dimensional Modeling
Github
IBM Cognos Business Intelligence
Python
Power BI
Azure
SQL Databases
Data Streaming
Informatica Powercenter
Netezza
Information Technology
Databricks

Job description

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team., * Develop and support new and existing data applications. * Partner with business users and analysts to understand data needs and recommend effective long-term solutions. * Work with application and enterprise architects to review implementation designs and data flows. * Provide technical guidance for complex data solutions, including code reviews, testing, deployment, and documentation. * Support production issues, maintain integration documentation, and contribute to broader data engineering initiatives.

Requirements

5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects. * Strong data engineering fundamentals with ETL experience * Advanced data modeling experience with emphasis on dimensional modeling * Proficiency in SQL * Hands-on experience with Azure Databricks and the Azure ecosystem. * Experience using Python or Scala * Strong communication skills and the ability to work effectively across teams * Proven ability to own work independently

Desired Skills: * Experience with Power BI, Azure ML, or Synapse * Familiarity with Informatica PowerCenter, IICS, Cognos, or Netezza Performance Server * Experience with Azure DevOps or GitHub * Background in Property and Casualty Insurance * Bachelor's degree in computer science or a related engineering field * Experience leading workstreams or delivering end-to-end project implementations

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