1 day ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain scalable data pipelines, transformations, and models for trusted operational and business datasets.
- Build and operate solutions using Microsoft Fabric, OneLake, Fabric Lakehouse and Warehouse, Spark, Power BI semantic models, and Azure data services.
- Ingest and curate support and field-service data, including incidents, tickets, chats, problem management, quality, user, inventory, and survey data.
- Create dimensional and semantic models with consistent definitions, relationships, hierarchies, and business logic.
- Implement automated data-quality controls, metadata management, data lineage, governance, security, monitoring, and observability.
- Define secure data contracts and collaborate with technical and business stakeholders on scalable data products.
- Improve platform performance, refresh latency, resiliency, maintainability, capacity utilization, and cloud cost efficiency.
- Contribute to deployment automation, source control, testing frameworks, operational tooling, and live-site incident response.
- Analyze usage of reports, measures, and columns to support reporting-portfolio rationalization and modernization.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- At least 2 years of experience designing, developing, or operating production data pipelines and ETL/ELT processes.
- Experience with automated deployment processes for cloud data platforms, SQL, and at least one data engineering language or framework such as Python, PySpark, Spark, or Scala.
- Understanding of data warehousing, dimensional modeling, analytical data consumption, data validation, testing, monitoring, and production operations.
- Experience translating business requirements into scalable technical designs and data products and collaborating across engineering, product, program, and business teams.
- Experience building enterprise data solutions with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, notebooks, Dataflows Gen2, or Direct Lake.
- Knowledge of enterprise security and governance practices, including role-based access control, row-level security, privacy, auditing, and retention.
- Knowledge of Microsoft Fabric capacity management, performance tuning, and cloud cost optimization.
- Preferred qualifications include Power BI semantic model development, DAX, Delta Lake, medallion architecture, schema evolution, data contracts, Microsoft Purview, live-site incident response, reporting modernization, and relevant enterprise business-domain experience.
Benefits
- Microsoft’s hybrid work model provides workplace flexibility.
- The position is open for at least 5 days, with applications accepted on an ongoing basis until filled.
- Microsoft provides equal employment opportunity and accommodations during the application process.
Tech Stack
Categories
Data Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.