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LERETA

Open 30d

Data Engineer I

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Summary

Entry-level data engineer at LERETA supporting the enterprise data platform: maintaining Azure Data Factory pipelines and SSIS packages, running data validation/QA with SQL and Excel, supporting Power BI reports, and learning Snowflake and Ataccama ONE under senior guidance in an Agile team.

The Data Engineer I is an entry-level role supporting the enterprise data platform under the guidance of senior team members. This person works on well-defined tasks across Azure, Snowflake, and Microsoft BI technologies while building foundational data engineering skills.

Key Responsibilities:

  • Assists with maintaining and monitoring existing Azure Data Factory (ADF) pipelines and SSIS packages under supervision
  • Performs basic data validation, reconciliation, and QA checks using SQL and Excel
  • Supports maintenance of existing Power BI reports and minor Power Query transformations
  • Documents processes and updates existing technical documentation
  • Provides Tier 1 production support for data integration and reporting platforms, escalating complex issues to senior engineers
  • Participates in Agile/Scrum ceremonies including sprint planning and backlog refinement
  • Learns Snowflake fundamentals, including basic querying and warehouse usage
  • Assists with data quality checks in Ataccama ONE under guidance
  • Performs other duties as assigned based on the needs of the department

Core Competencies:

  • Strong communication skills with the ability to translate technical concepts to business stakeholders
  • Strong analytical and problem-solving abilities
  • High attention to detail and data accuracy
  • Strong work ethic with a sense of ownership and accountability
  • Ability to prioritize effectively in a production support and development environment
  • Collaborative team player with the ability to work cross-functionally

Required Education & Experience:

  • Bachelor's degree in Computer Science, Information Systems, or equivalent field, or equivalent practical experience
  • 0-3 years of experience in data engineering, database development, or a related field
  • Required Technical Skills:
    • Basic SQL development
    • Exposure to Azure Data Factory or SSIS
    • Basic Power BI and Power Query
    • Microsoft Excel (formulas, pivot tables, basic data validation)
    • Familiarity with Git-based version control
    • Understanding of Agile/Scrum methodology

Salary range: $85,000 - $100,000

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