Data Engineer
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
7 days ago
Salary
Not specified
Job Description
Role Description
This role involves developing, designing, and maintaining Power BI dashboards, reports, and data visualizations based on business requirements.
- Build efficient data models (star schema, semantic models) using Power BI and Microsoft Fabric components.
- Work with Microsoft Fabric features such as Lakehouse, Data Engineering pipelines, Dataflows Gen2, and Warehouse where applicable.
- Optimize datasets, visuals, DAX queries, and report performance.
- Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable reporting solutions.
- Ensure data accuracy, governance, and compliance with organizational standards.
- Troubleshoot issues related to datasets, refresh failures, permissions, and report performance.
- Support the modernization of analytics platforms and the adoption of Microsoft Fabric within the KPMG ecosystem.
Qualifications
- A minimum of three years of experience as a Power BI Developer (or similar analytics role).
-
Strong proficiency in:
- Power BI Desktop
- Power BI Service (Workspaces, Gateways, Deployment Pipelines)
- DAX (advanced level)
- Power Query (M Language)
-
Hands-on experience in Microsoft Fabric, including at least one of the following:
- Lakehouse
- Data Engineering / Pipelines
- Dataflows Gen2
- Warehouse
- Strong understanding of data modeling, relational & dimensional modeling concepts.
- Experience working with large datasets and optimizing report performance.
- Ability to work independently, communicate clearly, and collaborate with cross-functional teams.
Requirements
- Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF).
- Background supporting enterprise analytics for finance, audit, or consulting environments.
- Familiarity with CI/CD for Power BI and governance best practices.
Job Requirements
- A minimum of three years of experience as a Power BI Developer (or similar analytics role).
- Strong proficiency in: Power BI Desktop Power BI Service (Workspaces, Gateways, Deployment Pipelines) DAX (advanced level) Power Query (M Language)
- Power BI Desktop
- Power BI Service (Workspaces, Gateways, Deployment Pipelines)
- DAX (advanced level)
- Power Query (M Language)
- Hands-on experience in Microsoft Fabric, including at least one of the following: Lakehouse Data Engineering / Pipelines Dataflows Gen2 Warehouse
- Lakehouse
- Data Engineering / Pipelines
- Dataflows Gen2
- Warehouse
- Strong understanding of data modeling, relational & dimensional modeling concepts.
- Experience working with large datasets and optimizing report performance.
- Ability to work independently, communicate clearly, and collaborate with cross-functional teams.
- Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF).
- Background supporting enterprise analytics for finance, audit, or consulting environments.
- Familiarity with CI/CD for Power BI and governance best practices.
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