{"id":3030860,"url":"https://alion.io/job/bellurbis-technologies-power-bi-developer","title":"Power BI Developer","company":{"id":4441858,"name":"Bellurbis Technologies","domain":"bellurbis.com","url":"https://alion.io/company/bellurbis-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":25000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1854},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Delta Lake","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-21T17:39:19Z","employer_posted_date":null,"last_verified_at":"2026-10-21T17:39:19Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Experience: 3–5 Years\nJob Type: Full-Time\nRequired Skills: Power BI, Azure, PySpark, SQL, Data Engineering\nJob Summary\nWe are looking for an experienced Power BI Developer with strong expertise in data visualization, dashboard development, SQL, Azure, and PySpark. The ideal candidate should have experience in data engineering, data transformation, and processing large datasets using PySpark, along with the ability to develop interactive Power BI dashboards and reports that support business decision-making.\nKey Responsibilities\nDesign, develop, and maintain interactive dashboards and reports using Power BI.\nBuild and optimize data models, DAX measures, calculated columns, and KPIs.\nWrite complex SQL queries for data extraction, transformation, validation, and analysis.\nDevelop data processing and transformation pipelines using PySpark.\nWork with Azure data services for data ingestion, storage, processing, and integration.\nPerform data engineering activities, including data cleansing, transformation, aggregation, and preparation for reporting.\nIntegrate data from multiple sources into Power BI datasets and semantic models.\nOptimize SQL queries, PySpark jobs, data models, and Power BI reports for performance.\nCollaborate with data engineers, business analysts, and stakeholders to understand reporting requirements.\nImplement data quality checks and ensure the accuracy and consistency of reports.\nPublish and manage Power BI reports, datasets, workspaces, scheduled refreshes, and row-level security.\nTroubleshoot data pipeline and reporting issues and ensure timely resolution.\nRequired Skills\nPower BI: Power BI Desktop, Power BI Service, DAX, Power Query (M), data modelling, dashboard development, and report optimization.\nSQL: Strong SQL skills, complex queries, joins, CTEs, window functions, aggregations, and query optimization.\nPySpark: Hands-on experience with PySpark, Spark DataFrames, transformations, actions, joins, aggregations, and large-scale data processing.\nAzure: Knowledge of Azure data services such as Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.\nData Engineering: Experience in ETL/ELT processes, data ingestion, data transformation, data pipelines, and data quality validation.\nData Modelling: Understanding of star schema, fact and dimension tables, relationships, and analytical data models.\nPerformance Optimization: Ability to optimize PySpark jobs, SQL queries, and Power BI dashboards.\nProblem-Solving: Strong analytical skills and the ability to troubleshoot data and reporting issues.\nPreferred Skills\nExperience building data pipelines using Azure Data Factory and Azure Databricks.\nKnowledge of Delta Lake, partitioning, and Spark performance tuning.\nFamiliarity with cloud-based data warehouse and lakehouse architectures.\nUnderstanding of data security, access controls, and role-based security.\nExperience working in Agile teams and collaborating with cross-functional stakeholders.\nEducational Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related 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