Senior Software Engineer- Data Engineering

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.

The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

This is an exciting time to join our group Customer Zero and work on something highly strategic to Microsoft. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities.

If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us!

Responsibilities

• Leading, Architecting and Implementing Data Engineering solutions.
• Champion data-driven decisions for feature prioritization and delivery.
• Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc.
• Design and implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions.
• Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives.
• Ship high-quality, well-tested, secure, and maintainable code.
• Develop and maintain software designed to improve data governance and security.
• Troubleshoot and resolve issues related to data processing and storage.
• Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering at the org level.
• Experiment with and recommend new technologies that simplify or improve the tech stack.
• Work to help build an inclusive working environment.
  
  

Qualifications

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 6+ years experience in business analytics, software development, data modeling or data engineering work.
• Software development using languages like C#, JavaScript or Java.
• Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases.
• Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms.
• Experience in ETL/ELT, Data warehousing, data pipelines and/or Business Intelligence Development.
• Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment.
• Hands-on experience using ML, anomaly detection, predictive analysis, exploratory data analysis.
• A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.
• Strong problem solving, design, implementation, and communication skills.
• Strong intellectual curiosity and passion for learning new technologies.
  
  

Preferred Qualifications

• Experience with large data engineering projects.
• Ability to provide technical leadership to other developers.
• Firm sense of accountability and ownership for end-to-end project lifecycle.
• Strong collaborator who can clearly explain work, listen to peers and customers, embodies growth mindset, and work effectively cross group and within the team.
• Experience working with large data sets in SQL/Data Bricks/PySparkSQL/Azure Synapse/Azure Data Factory/Azure Fabric or similar.
• Deep practical experience in one or more of the following is preferred: AI and Machine Learning.
• Business Intelligence experience or visualization with tools such as Power BI is also beneficial.
• Experience implementing data systems in C#/Python/Scala or similar.
• Basic Knowledge on Dynamics Platform would be an added advantage .
  
  

By applying to this role, you will be considered for additional roles with similar qualifications

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.

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