Spotify Customer Service Specialist with German and English

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland Unlocking digital performance. Delivering measurable results.

• Lead end-to-end Power BI implementation, from requirements gathering and data modeling through report development, deployment and user training
• Write, optimize and maintain complex SQL queries using CTEs, window functions, stored procedures and user-defined functions
• Build and support ETL/ELT pipelines or Power BI dataflows feeding semantic models
• Tune SQL and Power BI performance for large, varied data sets
• Collaborate with stakeholders to translate business needs into clear dashboards and KPIs
• Provide ongoing troubleshooting, enhancements and governance for BI solutions

Experience

• 8+ years in BI and data-engineering roles
• Proven track record with relational databases (e.g. SQL Server) and cloud data platforms
• Hands-on exposure to Snowflake, Azure Synapse or similar cloud warehouses
• Experience with version control (Git, Azure DevOps) and CI/CD for BI artifacts
• Exposure to scripting (Python preferred) for data preparation and automation

Skills

• Candidate should be expert in SQL
• He should be good and quick in query writing as well using CTE, functions and procs etc.
• Candidate should be proficient in Power BI
• Should have E2E knowledge of Power BI implementation
• Good to have Python knowledge
• Good to have exposure on cloud warehouses like Snowflake

All your information will be kept confidential according to EEO guidelines.