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Microsoft Data Engineering 
India, Telangana, Hyderabad 
843944998

17.12.2024
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 4+ years experience in business analytics, software development, data modeling or data engineering work.
  • Software development using languages like C#, JavaScript or Java.
  • Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases.
  • Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms.
  • Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment.
  • Strong problem solving, design, implementation, and communication skills.
  • Strong intellectual curiosity and passion for learning new technologies.

Preferred Qualifications:

  • Experience with data engineering projects with firm sense of accountability and ownership.
  • Experience in ETL/ELT, Data warehousing, data pipelines and/ or Business Intelligence Development.
  • Experience using ML, anomaly detection, predictive analysis, exploratory data analysis.
  • A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.
  • Business Intelligence experience or visualization with tools such as Power BI is also beneficial.
  • Experience implementing data systems in C#/Python/Scala or similar.
  • Working knowledge of any (or multiple) of the following tech stacks is a plus: SQL, Databricks, PySparkSQL, Azure Synapse, Azure Data Factory, Azure Fabric, or similar.
  • Basic Knowledge of Microsoft Dynamics Platform will be an added advantage.

Responsibilities
  • Implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions.
  • Leveraging machine learning(ML) models knowledge and implement appropriate solutions for business objectives.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Develop and maintain software designed to improve data governance and security.
  • Troubleshoot and resolve issues related to data processing and storage.
  • Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering.
  • Creates and implements code for a product, service, or feature, reusing code as applicable.
  • Contributes to efforts to break down larger work items into smaller work items and provides estimation.
  • Troubleshooting live site issues as part of both product development and Designated Responsible Individual (DRI) during live site rotations.
  • Remains current in skills by investing time and effort into staying abreast of latest technologies.