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Junior Data Engineer

Sonepar

Salary not specified
Sep 27, 2025
Jackson, MS, USA
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Sonepar Management Group (SMG) needs to support its US brands through a shared services model, requiring a Junior Data Engineer to manage and improve their data infrastructure, ensuring data quality, accessibility, and efficient processing for analysis and reporting.

Requirements

  • Familiarity with SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Proficiency in one or more programming language(s): Python, Java, C, etc
  • Strong understanding of data warehousing concepts.
  • Understanding of cloud data platforms (e.g.,Snowflake, Azure).
  • Familiarity with ETL/ELT tools and processes (e.g., FiveTran, Azure Data Factory, Apache Airflow, PySpark).
  • Understanding of data visualization tools (e.g., Tableau, Power BI).
  • 0-4 years of experience in data engineering or a related field(internships or academic projects are acceptable)

Responsibilities

  • Gather, clean, and integrate data from various sources to ensure data quality and consistency.
  • Maintain and optimize databases, ensuring efficient data storage and retrieval.
  • Implement indexing and partitioning strategies to improve database performance.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Perform basic data analysis and generate reports to support business decision-making.
  • Develop and maintain ETL /ELT(Extract, Transform, Load) processes to automate data workflows.
  • Monitor ETL/ELT jobs for performance and troubleshoot any issues that arise.

Other

  • Collaborate with data providers to understand data structures and requirements.
  • Work closely with senior data engineers and other team members to support ongoing projects and initiatives.
  • Participate in code reviews and provide constructive feedback to peers.
  • Document data processes, workflows, and best practices to ensure knowledge sharing and continuity.
  • Maintain up-to-date technical documentation for all data engineering tasks.