Data Engineer - ETL Pipelines, Python & SQL

Robotics Technologies LLC

Dallas (TX)

On-site

USD 90,000 - 120,000

Full time

15 hours ago
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Job summary

Robotics Technologies LLC is seeking a data engineer to design and optimize scalable data pipelines, implement ETL processes, and collaborate with cross-functional teams in Dallas.

You will write SQL and Python for data extraction and transformation, validate data quality, and document pipelines and solutions. You will work with data analysts, scientists, software engineers, and business stakeholders in an Agile environment.

Qualifications

  • 1-3 years of professional Data Engineering or related experience.

Responsibilities

  • Develop and maintain scalable data pipelines and ETL workflows.
  • Extract, transform, and load data from multiple sources.
  • Write optimized SQL queries for data extraction and transformation.
  • Develop data processing solutions using Python.
  • Monitor data pipelines and troubleshoot data quality or processing issues.
  • Work with data analysts, data scientists, software engineers, and business teams.
  • Design and maintain data models and database structures.
  • Implement data validation and quality checks.
  • Optimize data pipelines for performance and reliability.
  • Document data pipelines, processes, and technical solutions.
  • Support cloud-based data platforms and data integration projects.
  • Participate in Agile development and code reviews.

Skills

Python
SQL
ETL/ELT
Relational DB
Data modeling
Git
Analytical skills

Education

Bachelor's degree in CS/IT/Engineering

Tools

Git

Job description

Robotics Technologies LLC is seeking a data engineer to design and optimize scalable data pipelines, implement ETL processes, and collaborate with cross-functional teams in Dallas.

You will write SQL and Python for data extraction and transformation, validate data quality, and document pipelines and solutions. You will work with data analysts, scientists, software engineers, and business stakeholders in an Agile environment.

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