Data Developer: ETL, SQL & Pipelines

ManpowerGroup Global, Inc.

Jersey City (NJ)

On-site

USD 50,000 - 54,000

Full time

14 days+

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Benefits offered by this job

Health & wellness programs
Weekly pay
401(k) with match
Diversity & inclusion

Job summary

ManpowerGroup Global, Inc. in Jersey City, NJ seeks a Data Developer to join a dynamic data analytics and technology team. You will build data pipelines, write SQL queries, and develop ETL automation to support analytics and reporting, collaborating with Business/Data Analysts.

The role emphasizes data quality, cross-platform consistency, and strong problem-solving within a collaborative environment. Be part of a diverse and inclusive company driving impactful data solutions.

Qualifications

  • Proficiency in SQL, Python, or Azure Data Factory ETL tools.
  • Experience with data warehousing and data modeling.
  • Strong development, QA, and performance tuning skills.
  • Ability to work effectively within a team environment.
  • Excellent problem-solving and analytical skills.

Responsibilities

  • Develop scripts, processes, and tools to ingest, transform, and deliver data to support analytics and reporting needs.
  • Write efficient SQL queries and build data pipelines to ensure seamless data flow.
  • Develop ETL solutions and automate data workflows to improve operational efficiency.
  • Ensure data quality and consistency across various platforms and systems.
  • Collaborate with team members to optimize performance and troubleshoot issues.

Skills

SQL
Python
Data warehousing knowledge

Tools

Azure Data Factory
ETL tooling

Job description

ManpowerGroup Global, Inc. in Jersey City, NJ seeks a Data Developer to join a dynamic data analytics and technology team. You will build data pipelines, write SQL queries, and develop ETL automation to support analytics and reporting, collaborating with Business/Data Analysts.

The role emphasizes data quality, cross-platform consistency, and strong problem-solving within a collaborative environment. Be part of a diverse and inclusive company driving impactful data solutions.

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