Particle41
Skills: Python, SQL, AWS
Data Engineer - Power BI
Particle41(https://himalayas.app/companies/particle41) is looking for a skilled and adaptableData Engineer (Power BI)to join our growing team. In this role, you will be responsible for building and maintaining scalableETL/ELT pipelines, optimisingdata warehouse/lakehousesolutions, and delivering reliable, analysis-ready datasets. You will also play a key role in developing and enhancingPower BI semantic models, dashboards, and reporting solutions, ensuring performance, accuracy, and business relevance. Working closely with product, engineering, and business stakeholders, you’ll deliver end-to-end data and BI solutions that drive meaningful outcomes for our clients. This is a great opportunity to work on impactful projects, solve complex data challenges, and grow in a fast-paced, collaborative environment.
In This Role, You Will:
Data Engineering & Pipeline Development
Design, develop, and maintain scalableETL/ELT pipelinesto process large volumes of data from multiple sources. Build and optimizedata lakes / data warehouses / lakehousestructures 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. Maintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic.
Power BI Reporting & Semantic Modeling (Core Focus)
Develop and maintainPower BI dashboards and reportsfor business and leadership stakeholders. Build optimizedsemantic modelsin Power BI (star/snowflake schema) for performance and scalability. Write and optimizeDAX measures, calculated columns, and KPIs aligned to business metrics. UsePower Query (M)for transformations and ensure reporting datasets are refresh-ready and reliable. Manage Power BI deployments viaPower BI Service, including s …truncated… uests, subprocess, regex,…
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