Microsoft Data Engineer II 

India, Telangana, Hyderabad 

799196464

Required Qualifications

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  • 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

• 5+ 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.