Microsoft Senior Data Engineer – Dynamics Customer Experience Programs Engineering 

India, Telangana, Hyderabad 

676541501

As a well-rounded engineer, you will be confident to dive into any unknowns and use the debugging and analysis tools at your disposal to determine the root cause of issues and to provide viable and permanent solutions. Similarly, you should be confident to pick up any programming language or tech stack based on the needs of the feature/project and work with your crew to deliver on the committed deliverables and timelines. We work at a fast pace, in an agile environment. You will be expected and supported to deliver value incrementally in a continuous learning environment.

• 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

Preferred/Additional Qualifications (Optional, at HM discretion)

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering,
  • OR Related field AND 8+ 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 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
• OR equivalent experience.
• 3+ years of experience as a software engineer.
• 1+ year of big data experience like Cosmos, Hadoop, Azure data lake etc.
• Experience implementing ML models so that they can be used in day-to-day operations.
• Solid understanding of telemetry and data analytics technologies like: SQL, Cosmos, Kusto, Azure ML, R, Python, Spark, Hadoop.
• Any experience in Azure Devops, PowerApps, Power Automate and PowerBI would be a plus.
• Multi-platform, end-to-end experience across a wide spectrum of Azure data technologies, with knowledge of building data solutions in Fabric & Power BI.
• A passion for improving engineering practices and producing high quality software
• Self-motivated and customer-focused
• Strong written and verbal communication skills
• Excellent problem-solving and communication skills.
• Experience with continuous integration tools (e.g., Azure DevOps)
• Passion for data and the desire to learn & adopt new technologies & analysis methodologies.
• Enjoy discovering & solving problems.

• You will build code to extract raw data, validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. You’ll also create techniques to transform raw data into forms compatible with downstream data sources.
• You will identify opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data. You’ll also write and validate code to test the storage and availability of data platforms so that they’re more resilient.
• You will write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features.
• You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies. You’ll also govern data accessibility within your assigned pipelines.
• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility.