Data Engineer - PowerBI

The role

You will build and maintain scalable ETL/ELT pipelines and optimize data warehouse/lakehouse solutions. You will also develop Power BI semantic models, dashboards, and reporting solutions.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data lakes, data warehouses, or lakehouse structures.
• Integrate structured and unstructured data from internal and external systems.
• Ensure data accuracy, consistency, and completeness through validation and cleansing.
• Maintain documentation for data pipelines, datasets, Power BI models, and reporting logic.
• Develop and maintain Power BI dashboards and reports.
• Build optimized semantic models in Power BI using star/snowflake schema.
• Write and optimize DAX measures, calculated columns, and KPIs.
• Use Power Query (M) for transformations.
• Manage Power BI deployments via Power BI Service.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer / BI Engineer.
• Strong proficiency in Power BI, including data modeling, DAX, Power Query (M), and dashboard/report optimization.
• Strong hands-on experience with SQL and query optimization.
• Proficiency in Python for data transformation, automation, and integrations.
• Experience with data warehousing / lakehouse principles and performance tuning concepts.
• Familiarity with Git and modern collaborative development workflows.
• Comfortable working in Linux and writing basic shell scripts.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills.

Nice to have

• MySQL / PostgreSQL preferred
• Databricks, Spark, PySpark
• Pandas
• APIs / data integrations (Flask or similar frameworks)
• Utilities & tools: logging, requests, subprocess, regex, pytest

About the company

Particle41 is a company driven by core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE).