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3 Days ago

Data Engineer II

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Bangalore, Karnataka, India
Information Technology
Full-Time
Microsoft

Overview

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.

Do you want to influence product engineering teams to shape the next generation of data and analytics capabilities for Xbox? The Xbox Platform Data Intelligence Team is looking for a highly motivated Data Engineer with data platform experience. You will work closely with engineering and product management in designing, implementing, and evolving innovative capabilities tailored to drive analytics and insights on engineering features. You will leverage core data pipelines to identify insights and experiment ideas that influence product decisions. Our capabilities influence data-driven decision making across Xbox Leadership, Finance, Business Planning, and Engineering teams.

Collaboration, diversity, & self-direction are valued here. Expect to be given room and support to grow personally and professionally.

Technically challenging projects, a healthy and high-caliber team, game-changing products for excited fans… don’t miss this rewarding opportunity!

Responsibilities

Responsibilities

  • Work within and across teams to solve complex technical challenges
  • Develop engineering best-practices – continuously evaluate our processes and reporting to identify opportunities to improve, enhance, and automate existing and new capabilities with a fundamental understanding of the end-to-end scenario
  • Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates
  • Proficiency in scenario analytics, mining for insights
  • Measure the success and usage patterns of the product / feature at various levels as well as key engineering metrics
  • 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

Qualifications

Required:

  • Bachelor'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 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

  • Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Explorer (Kusto), Azure Cosmos DB, 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.
  • Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates
  • Proficiency in scenario analytics, mining for insights

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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