Data Engineer II

Job Summary

We are seeking a dynamic individual contributor for our Engineering function as part of our Insights and Analytics team. In this role, you will be responsible for building state-of-the-art data pipelines to drive business success as well as productize ML models to help drive usage growth of our products. Our team owns multiple and diverse services like Net Promoter Score and Recommendation pipelines for multiple Microsoft marketplaces. We also support senior leadership, product development, finance, sales & marketing with analysis, insights & reporting. We use data science to drive usage & revenue growth through machine learning models for personalized recommendations, marketing automation & lead scoring.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 3 years

Job Description/Requirements

  Responsibilities:

  • Build aggregates and ETL data pipelines required for reporting, insights production, ML models performance and evaluation, and ad hoc analysis. 
  • Work with data scientists to come up with new actionable insights that improve the customer’s experience. 

Qualifications:

  • 3 years of experience as software\data engineer. 
  • 1 year of relevant work experience in Big Data Engineering and/or ML Engineering
  • Technical aptitude and hands-on experience with data analysis or ETL processing

Preferred Qualifications :

  • 1 year of big data experience like Cosmos, Hadoop, Azure data lake, etc.   
  • Solid understanding of telemetry and data analytics technologies like SQL, Cosmos, Kusto, Azure ML, R, Python, Spark, Hadoop.
  • Any experience in Azure DevOps, PowerApps, Power Automate, and PowerBI would be a plus. 
  • Passion for data and the desire to learn & adopt new technologies & analysis methodologies.   
  • Enjoy discovering & solving problems.  
  • Comfortable dealing with ambiguity & working independently.  
  • A willingness to learn, share, & improve.  
  • Great written & verbal communication skills  

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.

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