Senior Big Data Developer

16 hours ago


Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Big Data Engineer Wanted

We are seeking a skilled Data Engineer to lead our distributed data systems. The successful candidate will be responsible for designing, executing and managing large and complex distributed data systems.

The ideal candidate will have experience in big data technologies (Apache Hadoop) and relational databases (MySQL/PostgreSQL). Proficiency in at least one of the following programming languages - Java, Python or Scala is also required.

In addition, the candidate should have expertise in SQL (T-SQL/PL-SQL/HIVE-QL) and Apache Spark, with hands-on knowledge of working with Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance Optimizations.

Good analytical and quantitative skills are essential, as well as comfort working with very large sets of data.

The role requires experience with integration of data across multiple data sources and a good understanding of distributed computing principles.

Main Responsibilities:

  • Designing, execution and management of large and complex distributed data systems.
  • Monitoring performance and optimizing existing projects.
  • Researching and integrating Big Data tools and frameworks as needed.
  • Understanding business/data requirements and implementing scalable solutions.
  • Creating reusable components and data tools for all teams.

Key Requirements:

  • 2 to 4 years of experience in big data technologies (Apache Hadoop) and relational databases (MySQL/PostgreSQL).
  • Proficiency in at least one of the following programming languages - Java, Python or Scala.
  • Expertise in SQL (T-SQL/PL-SQL/HIVE-QL).
  • Proficiency in Apache Spark, including Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs.
  • Strong analytical/quantitative skills and comfortable working with large data sets.
  • Experience with integrating data from multiple sources.
  • Good understanding of distributed computing principles.


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