Lead Data Engineer - Data Pipelines & Quality

iVoyant

Atlanta (GA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading technology company in Atlanta is looking for experienced Data Engineers to join its digital team. The role focuses on optimizing data engineering processes, ensuring data quality, and implementing ETL solutions using tools like Informatica and SQL. Candidates should have significant experience (7+ years) in data engineering and analysis. A Bachelor’s degree in a relevant field is required, and skills in data modeling and leading teams are crucial. This position offers opportunities for contributing to complex data architectures.

Qualifications

  • 7+ years of experience in data engineering.
  • 7+ years of experience in data analysis using SQL and PowerBI.
  • 4+ years of experience in data modeling and working with business.
  • 3+ years of team leadership in technical solutions.

Responsibilities

  • Take ownership of assigned Functional Data Domain.
  • Work with Functional team to understand data requirements.
  • Analyze and profile data to fit business needs.
  • Design Data Engineering Pipelines and Quality validation rules.
  • Work with Developers for technical implementation of Data Pipelines.
  • Support maintenance and performance analysis along data pipeline.

Skills

SQL
Data Integration
Critical Thinking
Cross-functional Teamwork
Problem Solving
ETL Process
Data Pipelines

Education

Bachelor’s Degree in Computer Science, Engineering, or Mathematics

Tools

SQL
Informatica BDM
PowerBI
Hadoop
Python

Job description

A leading technology company in Atlanta is looking for experienced Data Engineers to join its digital team. The role focuses on optimizing data engineering processes, ensuring data quality, and implementing ETL solutions using tools like Informatica and SQL. Candidates should have significant experience (7+ years) in data engineering and analysis. A Bachelor’s degree in a relevant field is required, and skills in data modeling and leading teams are crucial. This position offers opportunities for contributing to complex data architectures.
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