Business Intelligence Data Engineer

22 hours ago


Aurangabad, Maharashtra, India beBeeDataEngineer Full time ₹ 9,00,000 - ₹ 12,00,000
Job Summary

The successful candidate will be responsible for crafting innovative data engineering and reporting solutions to drive business insights.

Key Responsibilities:
  • Develop and deploy scalable Power BI dashboards, paginated reports, and self-service datasets.
  • Implement efficient data models tailored for reporting, including star schema, snowflake, and data marts.
  • Create reusable DAX measures, Power Query transformations, and semantic layers.
  • Ensure reports and dashboards adhere to governance, security, and performance best practices.
  • Support business teams with ad-hoc analysis and report automation.
  • Design and maintain ETL/ELT pipelines to load and transform data into data warehouses and marts.
  • Collaborate with onsite data architects and engineers to ensure data quality, consistency, and performance.
  • Build optimized SQL queries, stored procedures, and views to support reporting and analytics needs.
  • Integrate structured, semi-structured, and unstructured data into reporting environments.
  • Partner with onsite leads, data architects, and business analysts to translate requirements into technical solutions.
  • Provide regular status updates, documentation, and knowledge transfer to ensure alignment with enterprise BI initiatives.
  • Collaborate with offshore team members to maintain consistent coding standards and best practices.
  • Contribute to continuous improvement and automation of reporting workflows.
Requirements
  • 6–9 years of experience in Data Engineering & Business Intelligence.
  • Strong hands-on skills in Power BI (DAX, Power Query, Power BI Service).
  • Proficiency in SQL Server, T-SQL, SSRS, and SSIS (ETL development).
  • Knowledge of data modeling principles (dimensional, normalized, denormalized).
  • Experience working in an offshore delivery model with global teams.
  • Good communication and problem-solving skills.
  • Experience with Azure Data Services (Azure Data Factory, ADLS, Synapse).
  • Exposure to CI/CD pipelines for BI deployments.
  • Familiarity with data governance and security models in Power BI.
Preferred Qualifications
  • Additional experience with cloud-based platforms and tools.
  • Certifications in Data Engineering or related fields.


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