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ColumbiaSportswearCompany
Sr. Data Engineer (Delivery Engineering - DTC)
ColumbiaSportswearCompany
New Delhi•On-site•3-5 Yrs•1 hour ago
Job description
Data EngineeringBusiness IntelligenceCloud Data EngineeringAnalytics Enablement
Overview
Senior Data Engineer Power BI role within Columbia Sportswear's Global Capability Center (GCC) and Data & Analytics team. Focus on designing, building, and supporting Power BI semantic models that enable trusted, high-performance analytics across Commercial, Supply Chain and enterprise business domains.
Responsibilities
- Design, develop, and maintain Power BI semantic models supporting Commercial, Supply Chain and enterprise analytics use cases
- Apply dimensional modeling principles to enable intuitive, high performing self-service analytics
- Develop and optimize DAX measures, calculations, and model logic to ensure accuracy, scalability, and performance
- Own semantic model troubleshooting, performance tuning, and enhancement requests in partnership with analytics and business stakeholders
- Establish and follow best practices for model design, naming standards, measure governance, and reusability
- Partner closely with analysts and product teams to translate analytical requirements into well-structured Power BI models
- Advise Power BI report developers on model usage, performance considerations, and platform capabilities
- Support data quality investigations and root cause analysis across semantic, warehouse, and source data layers
- Build and support ELT/ETL pipelines that feed Power BI semantic models using Azure Databricks, Azure Data Factory, and the Enterprise Data Lake
- Participate in the design and delivery of curated analytical datasets and star schemas optimized for BI workloads
- Learn and apply Databricks and Spark-based data transformations, expanding capability as a full stack data engineer
- Contribute to scalable data engineering patterns while guided by senior engineers and architectural standards
- Participate fully in Agile delivery processes including backlog refinement, estimation, sprint execution, and retrospectives
- Proactively identify data issues, technical risks, and improvement opportunities, escalating appropriately
- Collaborate effectively within a global, distributed engineering team
Qualifications
- Experience with modern business intelligence and data engineering practices
- Strong communication and collaboration skills
- Intellectual curiosity and the ability to adapt to a rapidly evolving technology landscape
- Passionate about Power BI data modeling and analytical usability
- Comfortable working close to the business while maintaining engineering rigor
- Curious and motivated to grow beyond BI into modern data engineering
- A collaborative team member who values quality, clarity, and continuous improvement
Benefits
- Work in a pioneering organization that values relentless improvement and innovation.
- Opportunity to work with globally dispersed teams in an ever-evolving industry.
- Environment encouraging continuous learning and personal development.
- Collaboration with senior engineers and architects to deliver end-to-end data solutions.