Chief Data Strategist

12 hours ago

Varanasi, Uttar Pradesh, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Role: Data Architect

As a seasoned data architect, you will be responsible for designing and implementing large-scale data architectures using your expertise in algorithms, data structures, and design patterns.

You will work with distributed processing technologies such as Spark and Hive to process and transform complex data sets.

In addition, you will have hands-on experience with AWS Cloud Computing platforms and understand scalability and reliability issues.

Experience with Kubernetes is also required for CI/CD support, cloud compatibility, auto-scaling, and managing jobs related to ETL, streaming, etc.

Key Skills:

  • Deep understanding of algorithms, data structures, and design patterns
  • Strong hands-on experience in programming languages such as Java, Scala, Python, or similar
  • Hands-on experience in distributed processing using Spark and Hive
  • Hands on experience with AWS Cloud Computing platforms and understanding of scalability and reliability issues
  • Good understanding of Kubernetes including its core components and architecture

12-16 years of software development experience with deep understanding of data processing, optimization, search and stream data is required. Experience in handling complex data transformations, data warehousing, and ETL processes is essential. The ideal candidate will have a strong background in data engineering and a passion for working with large datasets.

Data Architecture

Responsibilities:
  • Design and implement large-scale data pipelines
  • Work with distributed processing technologies such as Spark and Hive
  • Have hands-on experience with AWS Cloud Computing platforms
  • Manage jobs related to ETL, streaming, etc.
Requirements:
  • 12-16 years of software development experience
  • Deep understanding of data processing, optimization, search and stream data
  • Experience in handling complex data transformations, data warehousing, and ETL processes
  • Strong background in data engineering

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