highlisted

Data Engineer - PowerBI

Particle41·Remote

Pay not stated3–6 yrsFull-timeRemote

Read from the company's own careers page; you apply on their site.

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About the role

In this role, you will be responsible for building and maintaining scalable ETL/ELT pipelines, optimising data warehouse/lakehouse solutions, and delivering reliable, analysis-ready datasets. You will also play a key role in developing and enhancing Power BI semantic models, dashboards, and reporting solutions, ensuring performance, accuracy, and business relevance.

What you'll do

  • Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources
  • Build and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics
  • Integrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer
  • Ensure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks

What you need

  • 3–6 yrs of experience
  • Power BI
  • ETL
  • Python
  • Pandas
  • Data warehousing
  • Spark
  • B.Tech or B.E. or B.Sc or BCA

Good to have

  • SQL
  • PostgreSQL
  • AWS
  • Data modelling
  • Databricks
  • DAX

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