Microsoft

Data Engineer 2

Noida, India
SQL Python C# Hadoop Spark Azure Git Scala
Description

On Team Xbox, we aspire to empower the world’s 3 billion gamers to play the games they want, with the people they want, anywhere they want. Gaming, the largest and fastest growing category in media & entertainment, represents an important growth opportunity for Microsoft. We are leading with innovation, as highlighted by bringing Xbox to new devices with Cloud Gaming, bringing the Game Pass subscription to PC, and our recent acquisition of Activision Blizzard King creating exciting new possibilities for players. 

The Xbox Experiences and Platforms team is home to the engineering work that makes this vision possible, building the developer tools and services that enable game creators to craft incredible experiences, the commerce systems that connect publishers with their audience and help gamers engage with their next favorite games, the platforms on which those games play at their best, and the experiences that turn every screen into an Xbox. 

Required: 

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ 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 1+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience. 
  • Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes. 
  • Self-motivated and organized to deliver results 

 

Preferred: 

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ 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 of business analytics, data science, software development, data modeling or data engineering work experience OR equivalent experience. 
  • Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Explorer, Azure logic apps, Fabric/Power BI 
  • Experience in modern DevOps practices (including Git, CI/CD) 
  • Good interpersonal and communications (verbal and written) skills, including the ability to effectively communicate with both business and technical teams. 

 

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.

The Xbox Experiences and Platforms Data Team is looking for an enthusiastic Data Engineer to help us build and deliver business intelligence through data for gaming platforms and experiences. Your duties will involve collaborating with teams like engineering and program management to comprehend critical business questions for customer-facing scenarios, establish key performance indicators, and create core data pipelines used to identify insights and experiment ideas that impact business metrics.   

 

Responsibilities 

  • Improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios. 
  • Authoring and designing Big Data ETL pipelines in SCOPE, Scala, SQL, Python, or C#.  
  • Data extraction, data cleaning, preprocessing, and transformation for further analysis by data analysts and feature teams. 
  • Design, develop, and maintain data pipelines and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions.  
  • Key contributions in a medium-to-large area  
  • Contribute to a data-driven culture as well as a culture of experimentation across the organization. 
  • Creating dashboards in Power BI and Azure Data Explorer
Microsoft
Microsoft
Data Management Developer Tools DevOps Enterprise Software Operating Systems

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