Microsoft Senior Analytics Engineer Minecraft 

Taiwan, Taoyuan City 

998089243

At Mojang Studios, the creators of Minecraft,to build a better world through the power of play.

Why play? Well, play is at the heart of everything we do.the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlesslyinspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.

We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world.Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal.

Join us as a Senior Analytics Engineer, Minecraft and be an architect of our data-driven future. We are seeking a strategic thinker who will combine their technicalexpertisewith a deep understanding of the business to deliver solutions which transform raw gaming data into actionable insights and data products. You will build robust pipelines, well-crafted data models, and innovative data products to drive impactful outcomes. You will prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions. To be successful, we collaborate with data scientists, analysts, data engineers, game teams and stakeholders at the pace of our business. Our team is passionate about our mission, embracing challenges with a growth mindset, and continuously.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+years experiencein analytics engineering, data engineering, data science, data analyst, or related software development work
  • OR equivalent experience.

• 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
• 1+ years data modeling experience.

Preferred Qualifications:

• Critical thinker and problem solver who brings a creative and open mindset to each situation.

• A proventrack recordbuilding andoptimizinganalytic solutions and data products which deliver significant business impact.

• Data analysis and exploration skills toidentify, select and prepare data or metadata for analytics.

• Business acumen to understand and address business challenges through analytics engineering.

• Experience building,maintainingandoptimizingenterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.

• Solid Python skills for data processing combined with a pythonic mindset. Proficient SQL.

• Working knowledge of DevOps andDataOps.
• Video game domain knowledge is important – as an experienced Player or industry veteran.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until April 22, 2025.

• Build subject matterexpertiseof our business and data domainstocollaborate with data consumers and stakeholders to understand their information needsandassistthem with data access.

• dentifyand analyze multi-structured dataor metadatafrom a variety of sources toselectand documentthe mosteffective andaccuratedata which fulfills theanalytics requirements.

• Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learningensuring theycanevolve with changing needs.

• everagemodern data engineering practicesand frameworkswith anobject-oriented approach toarchitect,build,andmaintainautomated data pipelineswhich transformdata into clean, enriched, andaccurateinformation.

• ourinfrastructure by developing frameworks, reusablecomponentsand new capabilities to achieve our mission.