Microsoft Hiring Drive 2024 For Data Engineer II | Location Hyderabad

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Microsoft Hiring Drive 2024: Microsoft Hiring Drive 2024 for its Data Engineer II. Microsoft Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s/Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Computer Engineering, or a related field. if you are interested, please apply as soon as possible.

Company Name: Microsoft

Role: Data Engineer II

Location: Hyderabad

Experience: 2+ years

Qualification: Bachelor/Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Computer Engineering, or a related field

Batch: Any

Job Type: Full Time

Salary: 37.0 to 39.0 LPA (Expected)

Microsoft Hiring Drive 2024

Job Description:

  • We are looking for an experienced Data Engineer to join our Insights team in DIG. We empower Office Engineering Teams with Data and Insights to let them respond to customer feedback, steer future investments, and ensure our customers have the best experience possible daily.
  • We leverage state-of-the-art Azure technologies for big data processing tech that is available internally and open source/Azure technologies such as Synapse, Spark, Azure Data Lake, Azure Data Explorer, Azure Data Factory etc.
  • Great opportunity to impact millions of Office Customers, shape the data analytics platform and systems architecture, and contribute to the success of Office product group.


  • Bachelor/Master degree in Mathematics, Statistics, Data science, Computer Science, Computer Engineering, or related field
  • 2+ years of hands-on experience with big data technologies as well as data analytics tools, SQL or any querying language, Data Engineering technologies, ETL
  • Experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Excellent data visualization skills to be able to present insights that drive business impact
  • Excellent communication & collaboration skills


  • Contribute to the strategy, vision, architecture, and execution for our data platform and self-serve data analytics systems
  • Build data processing pipelines that are both efficient and reliable by leveraging a variety of technologies such as Azure Data Factory, Azure Synapse, Azure Data Explorer, Azure Data Lake Store Gen 2, Cosmos & Scope Scripts, ClickHouse, Superset and other technologies
  • Collaboration with Office Engineering teams to fulfill the data requirements to meet the needs of internal and external partners, ultimately contributing to the consumer user growth
  • Collaboration with the Data Science team in building and productizing the data science models for Growth User Lifecycle, including acquisition and engagement needs

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