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Lead Data Engineer

Who is a Lead Data Engineer?

A Lead Data Engineer is a senior-level position in the field of data engineering, responsible for leading a team of data engineers in designing, building, and maintaining the data infrastructure of an organization. The role involves overseeing the design and implementation of data pipelines, managing data integration and ETL processes, and ensuring data quality and integrity.

 

What is the experience required to become as a Lead Data Engineer?

  • Lead Data Engineer candidate will play technology leadership role for all core data services.
  • Having hands-on experience in developing Microservices is an added advantage.
  • Having experience with Business Intelligence tools is an added advantage.
  • Experience with Redis is good to have.
  • Having a strong experience in MS SQL is important since you deal with the Data
  • Ability in managing & optimizing SQL Server Database is required.
  • Troubleshooting SQL Server performance problems
  • Optimizing Stored Procedure performance
  • Optimizing SQL Server Statistics & Indexes
  • Managing SQL Server Concurrency
  • Indexing, Querying & Analysing Test
  • Experience on any of the NoSQL database (MongoDB, Elasticsearch) is mandatory.
  • Familiarity with patterns such as ETL & CQRS
  • Read optimized NoSQL database for reporting & full text search.

 

 What are the key responsibility for Lead Data Engineer?

 

  • Work closely with the engineering team to ensure highly optimized data solutions.
  • Perform optimal indexing & query tuning when applicable.
  • Contribute to architectural decisions & implementations.
  • Ensure high availability of database & quick turn around on critical issues.
  • Implement synchronization methods to support reports, full-text search & multi-tenancy.
  • Implement quick fallback mechanisms to ensure disaster recovery.
  • Enforce best practices such as unit testing & tracking schema changes under

 

What is the education required to become as a Lead Data Engineer?

  • To become a Lead Data Engineer, you typically need a strong educational background and several years of experience in data engineering.
  • A bachelor’s degree in computer science, Information Technology, or a related field is usually required. A Master’s degree in Computer Science, Data Science, or Analytics can be an added advantage.
  • Earning certifications in big data technologies such as Hadoop, Spark, and NoSQL databases can demonstrate your knowledge and expertise in these areas and help you stand out to potential employers.

 

Overall, the role of a Lead Data Engineer is to lead a team of data engineers in building and maintaining the data infrastructure that powers data-driven organizations, allowing them to make data-informed decisions and gain insights from their data

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