Microsoft Senior Data Engineer 

India, Telangana, Hyderabad 

446140939

to help us in this mission.fixes, analyzing data for improving the reliability of the platform, and working on telemetry and data pipeline development for Windows features to light up new scenarios and devices in the Windows ecosystem (PCs, Phones, Servers, SurfaceHub, Hololens, Azure and more). You would be involved in the Enterprise and Security area of Windows Operating System.

Required Qualifications

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR equivalent experience.
• Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Azure logic apps.
• Proficient in Power BI and Machine Learning experience.
• Proven track record of collaborative development in an agile team environment
• Experience with infrastructure automation technologies like Docker and Kubernetes.
• Experience in SQL, data warehousing and database architecture.
• Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes.

Preferred Qualifications

• 8+ years of professional software development experience.
• Experience building APIs and services using REST is preferred.
• Overall understanding of Azure/Cloud infrastructure is desirable.

• Develop and maintain data pipelines including solutions for data collection, management, and usage.
• Develop and implement solutions for data quality validation and continuous improvement.
• Manage, execute and monitor weekly and monthly production operations; resolve and escalate production issues as appropriate.
• Partner with data scientists, PMs, engineers and business stakeholders globally to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
• Perform root cause analysis of system and data issues and develop solutions as required.
• Finding ways to improve products, tools, and processes for long-term benefit for Microsoft and customers.
• Proven design and problem-solving skills, with an emphasis on quality and data engineering excellence.
• Proven communication skills, both verbal and written.
• The ability to work well in a diverse, global, team-focused environment.
• Mentoring junior engineers in the team.