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Mid LevelFull-timePythonAWSGCPAzurePostgreSQLMySQLAgileGitData
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a skilled Data Engineer (Power BI) to join our growing team. In this role, you will build and maintain scalable ETL/ELT pipelines, optimize data warehouse/lakehouse solutions, and deliver reliable datasets. You will also develop and enhance Power BI semantic models, dashboards, and reporting solutions.
Key Responsibilities
- →Design, develop, and maintain scalable ETL/ELT pipelines for large volumes of data
- →Build and optimize data lakes, data warehouses, and lakehouse structures
- →Integrate structured and unstructured data from multiple sources
- →Ensure data accuracy through validation, cleansing, and reconciliation
- →Develop and maintain Power BI dashboards and reports for stakeholders
- →Build optimized semantic models in Power BI
- →Write and optimize DAX measures and calculated columns
- →Manage Power BI deployments and scheduled refresh
- →Improve dashboard performance through optimization
- →Collaborate with stakeholders to gather reporting requirements
- →Work in Agile development cycles
- →Perform testing and debugging of pipelines and reports
- →Stay updated on data engineering and Power BI trends
Requirements
- ✓Bachelor’s degree in Computer Science, Engineering, or related field
- ✓3+ years of experience as a Data Engineer or BI Engineer
- ✓Strong proficiency in Power BI (data modeling, DAX, Power Query)
- ✓Experience with SQL (MySQL/PostgreSQL preferred)
- ✓Proficiency in Python for data transformation and automation
- ✓Experience with data warehousing and performance tuning
- ✓Familiarity with tools like Databricks, Spark, PySpark, Pandas
- ✓Experience with APIs, Git, and Linux
- ✓Strong problem-solving and communication skills
