Data Engineer

Data Engineer - Business Intelligence Developer

Key Responsibilities:
• Analyze requirements and designs effective BI solutions to meet business needs.
• Coordinate with the Project Team, rest of the IT group and business users in selecting the appropriate BI tool(s)
for each requirement.
• Works with the business team &/or project team to ensure tight fit between BI environment and business
requirements.
• Work with Database Administrator to ensure that data is efficiently managed, accessible, and leveraged for systematic purposes.
• Develops the best practices in the development of BI reports.
• Advocate for the continuous improvement of the standards and best practices within the area of
Business Intelligence and reporting.
• Troubleshoots BI tool problems and tunes for performance.

Experience & Qualifications:
• Pertinent experience in Data Modelling and Data Model normalization
• 3 to 5 years of relevant experience required. Power BI or Tableau experience preferred.
• In depth knowledge of data warehousing theories and techniques and multi-dimensional design
• Strong knowledge of SQL
• Solid knowledge in ETL (Extract Transform Load) methodologies using tools/scripts and/or have experience doing data integration using ETL tools, and ETL methodology.
• Strong knowledge/proficiency of relational databases (MS SQL, Oracle) and Business Intelligence area.
• Understanding of design and development tools, SDLC methodologies and techniques, preferred
• Curious & Critical Thinker – ability to transform data into actionable insights.
• Experience of working in agile (SCRUM) is an advantage.
• Adept data storytelling and visualization – proficiency on creating solutions which aligns not only with the business requirements but as well as the company’s branding.
• Ability to comprehend complex technical and business concepts and adapt quickly to changes.
• Strong written and verbal English communication skills
• Experience on Azure cloud is a plus

Good to have skills:
• Knowledge in Big Data / Data Science
• In-depth knowledge in Power BI, SSIS, SSAS and Visual Studio
• Knowledge in Informatica, SSIS and/or Snowflake