Data Engineer (SQL/Azure Data Lake/Spark/Synapse)

Come join an evolving team with a growth mindset, explore your passion and do your best work. "Operations Digital Solutions" Organization under "Finance Data & Experiences" is an Org that enables digital transformation for "Microsoft Business Operations". One of the key areas of this transformation is happening in the Microsoft Incentives Operations (MIO) platform which is a center of excellence for on-time, accurate, and compliant payments to Microsoft Partners and Suppliers worth $7B payouts annually. We have big bets in automating the end-to-end business processes to drive great customer experience with great business agility. 

We build the solutions leveraging and enhancing our in-house Operations Analytical Platform (OAP) built on the cutting-edge technologies and modern architectures.

We have exciting opportunities for you to innovate, influence, transform, inspire and grow within our organization and we encourage you to apply to learn more!

This opportunity will allow you to accelerate your career growth, develop deep technical and architectural skills through strong collaborations across our teams spread across Hyderabad, Redmond, and Dublin.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field - experience in business analytics, software development, data modeling or data engineering work.
• OR equivalent experience.
• 3+ years experience in utilizing a variety of data stores, including data warehouses, RDBMS and searchable document DBs.
• Using profiling tools, debugging logs, performance metrics, and other data sources to make code- and application-level improvements.
• Experience of incorporating data processing and workflow management tools into pipeline design.
• Experience working with large data sets using SQL/Azure Data Lake/Spark, etc., to derive actionable insights.
• Creating, managing, and optimizing data pipelines to support various workflows.
• Developing and maintaining data pipelines and back-end services for real-time decision-making, reporting, optimization, and data collection.
• Designing and implementing monitoring systems and dashboards to maintain the health and integrity of our data feeds and pipelines.
• Collaborating with a diverse team of Technical Program Managers, Site Reliability Engineers, Data Scientists, and Engineers.

Developing for continuous integration and automated deployments.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Participate in feature grooming sessions with technical program managers and product managers, analyze and bring clarity to designs.
• Come up with design and architecture for the features and scenarios.
• Own medium to complex features/user stories and deliver them with the highest quality exemplifying role model behaviors - coding, unit/integration tests, code/desing reviews.
• Strong focus on building scalable, high performance, reliable, compliant (security, privacy, accessibility) solutions.
• Champion Engineering Excellence and DevOps - Automation of builds, deployments, and injecting test suites as part of the pipelines.
• Partner and collaborate with different Data Engineering teams in the Org to leverage and share reusable components and/or services, and bring consistency.
• Drive feedback from production systems based on telemetry and make the product robust by building strong engineering backlog.