Data Engineer (Scala)

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Job Description

As a Data Engineer, Candidate will play a key role in designing, developing, and maintaining our data infrastructure. The ideal candidate Should have 2-5 years of experience in data engineering, with a strong foundation in Apache Hadoop, Apache Spark, Scala/Java, and expertise in NoSQL databases such as HBase/Couchbase etc.

Mandatory Skill:-

  • Strong programming skills in Scala for developing Spark applications
  • In-depth experience working with NoSQL databases, specifically HBase and Couchbase.
  • Ability to design, optimize, and manage NoSQL databases for performance and scalability
  • Strong understanding of data modeling principles and the ability to design efficient and scalable data models
  • Hands-on experience in designing and implementing Extract, Transform, Load (ETL) processes for data cleaning and transformation
  • Proven ability to write efficient, optimized, and maintainable code for data processing tasks

Preferred Skill Required:-

  • Bachelor's degree in computer science, software engineering, or a related fieldย 
  • Hadoop Cluster Administration
  • Experience with other big data technologies such as Apache Kafka for real-time data processing
  • Knowledge of containerization tools like Docker and orchestration tools like Kubernetes
  • Familiarity with version control systems, particularly Git.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Understanding of database administration principles, especially for distributed databases like HBase

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