Chief Data Visualization Officer

1 week ago

Tirupati, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Power BI Data Engineer

A global leader seeks a highly skilled Power BI Data Engineer to support enterprise data initiatives.

The ideal candidate will be technically proficient in SQL, SSIS, SSRS, and Power BI, capable of building scalable data pipelines while also developing high-quality dashboards and reports that enable better decision-making.

Key Responsibilities:

  • Design, develop, and publish Power BI dashboards, paginated reports, and self-service datasets.
  • Implement data models (star schema, snowflake, data marts) tailored for reporting.
  • Create reusable DAX measures, Power Query (M) transformations, and semantic layers.
  • Ensure reports and dashboards follow governance, security, and performance best practices.
  • Support business teams with ad-hoc analysis and report automation.

Data Engineering & Integration:

  • Develop and maintain ETL/ELT pipelines to load and transform data into data warehouses and marts.
  • Work 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.
  • Support integration of structured, semi-structured, and unstructured data into reporting environments.

Collaboration & Offshore Delivery:

  • Work closely with onsite leads, data architects, and business analysts to translate requirements into technical solutions.
  • Provide 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.

Required Skills & Qualifications:

  • 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.

Preferred Skills & Qualifications:

  • 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.

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