Data Engineer

Robotics Technologies LLC
Dallas, TX, United States
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Code Review Data Validation Information Engineering Data Integration Extract Transform Load (ETL) Data Mining Relational Databases Database Storage Structures Database Theory Document-Oriented Databases Python (Programming Language)
+10 more
PostgreSQL MySQL Standard Sql Software Engineering SQL Databases Data Processing Cloud Platform System Git Information Technology Data Pipelines

Job description

  • 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.

Requirements

  • 1-3 years of professional Data Engineering or related experience.
  • Strong proficiency in Python and SQL.
  • Experience with ETL/ELT processes and data pipelines.
  • Experience working with relational databases.
  • Knowledge of data modeling and database concepts.
  • Familiarity with Git and software development practices.
  • Strong analytical and problem-solving skills.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field preferred.

Preferred Skills:

  • Python
  • SQL
  • ETL / ELT
  • Data Pipelines
  • Data Modeling
  • PostgreSQL / MySQL

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