Description

Key Responsibilities

• Data Modeling and Architecture: Architect and implement scalable data models, star schemas, and semantic layers within modern data warehouses to support complex analytical requirements.
• Dashboard Development: Design, build, and deploy interactive, high-performance dashboards and reports using industry-leading tools like Power BI, Tableau, or Looker to drive actionable business insights.
• ETL Pipeline Engineering: Develop and optimize complex ETL and ELT data pipelines to extract, transform, and load data from disparate source systems into analytical storage platforms with high reliability.
• Performance Optimization: Conduct deep-dive performance tuning of SQL queries, report calculations, and underlying data structures to ensure sub-second response times for end-users.
• Stakeholder Collaboration: Work closely with business units, data analysts, and stakeholders to translate vague business problems into clear technical specifications and functional BI deliverables.
• Governance and Best Practices: Establish and enforce best practices for data visualization, documentation, version control, and security protocols across the entire BI development lifecycle.

Job Requirements

• Educational Background: A Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related quantitative field.
• Core Experience: A minimum of 5 to 10 years of hands-on experience in business intelligence development, data warehousing, and report automation within a large-scale enterprise environment.
• SQL Proficiency: Advanced proficiency in writing complex SQL queries, stored procedures, and triggers. You must have a deep understanding of relational database management systems like SQL Server, PostgreSQL, or Snowflake.
• Tooling Expertise: Demonstrated mastery of leading BI platforms such as Microsoft Power BI (DAX, Power Query) or Tableau (Calculated Fields, LOD expressions) is mandatory.
• Data Pipeline Skills: Significant experience building and maintaining data integration pipelines using tools like SSIS, Azure Data Factory, dbt, or similar modern orchestration frameworks.
• Analytical Mindset: Strong analytical and problem-solving skills with the ability to interpret business requirements and translate them into efficient technical logic and high-impact visual narratives.
• Communication Skills: Excellent verbal and written communication skills are required to facilitate workshops, explain technical concepts to non-technical stakeholders, and mentor junior team members effectively

Key Skills

Education

Bachelor's or Master's degrees