ETL Developer

Job Title: Data Engineer / ETL Developer

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About the Role

Data Engineer / ETL Developer

Key Responsibilities

ETL & Data Pipeline Development

• Develop and maintain

  ETL/ELT pipelines

  to move data from source systems (ERP, MES, SQL databases, flat files) into our centralized platform.
• Use tools such as

  Azure Data Factory

  ,

  SSIS

  , or similar to orchestrate and automate data workflows.

Data Modeling & Integration

• Assist in designing and building

  data models

  and

  data marts

  optimized for Power BI dashboards.
• Support the creation and maintenance of

  dataflows

  and

  datasets

  in Power BI Service.

Data Quality & Documentation

• Implement data validation, transformation, and cleansing logic to ensure high-quality, reliable data.
• Document data processes, business rules, and data mappings to support knowledge sharing and governance.

Cross-Functional Collaboration

• Work with internal teams (production, quality, operations, finance) to understand data requirements and reporting needs.
• Collaborate with BI developers to ensure the data pipeline supports efficient and user-friendly reporting.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 2+ years of experience in data engineering or ETL development roles.
• Solid experience with

  SQL

  and ETL tools (e.g.,

  Azure Data Factory

  ,

  SSIS

  ,

  Informatica

  , etc.).
• Familiarity with

  Power BI

  , including working with datasets, dataflows, or basic DAX.
• Understanding of data integration, transformation, and warehousing concepts.
• Experience working with or integrating manufacturing systems (ERP, MES) is a strong plus.

Preferred Skills

• Experience with cloud data platforms (especially

  Microsoft Azure

  ).
• Exposure to Python or scripting for automation.
• Familiarity with data governance and documentation practices.
• Experience with manufacturing environments or industrial data is beneficial.

Soft Skills

• Strong attention to detail and a logical, structured approach to problem-solving.
• Willingness to learn and grow in a fast-paced environment.
• Good communication and collaboration skills across technical and non-technical teams.
• Proactive and solutions-oriented mindset.