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Job description

Senior Data engineer

Role:

  • 10+ years hands on experience in software development.
  • Strong in algorithms and data structures, knowledge of Object-oriented design, Design Patterns
  • Multi-threaded programming
  • Strong troubleshooting, debugging, and analytical skills.
  • Google cloud development experience

Mandatory Skills

  • SQL skills (BQ, Hive and Spark)
  • Spark jobs debugging and tuning
  • Python, PySpark
  • Good architecture skills to understand end to end flows/data pipelines
    • -big data architecture, hadoop, hive, Sql, and airflow
  • Knowledge of Unix, Github

Secondary skills

  • Client stakeholder management
  • Offshore team and delivery management
  • Certification in relevant skills

Responsibilities

  • The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects
  • Design, implement, and support multi-tier software applications, document and test systems, modify as necessary
  • Work independently and with other engineers, and Ops teams, design and develop strategic and tactical processes, and create solutions that meet business requirements.
  • Demonstrate thought processes in solving business and technical problems. Design and code should be easy to maintain, available, performing well, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version.
  • Own to deliver very high-quality code that is thoroughly tested and is supported by unit tests for a flawless execution
  • Can be relied on to deliver features and sub-systems on time and to requirements
  • Works well within a team and contributes effectively to the success of those they interact with regularly.

Education:

Bachelors degree in computer science, Software Engineering, MIS or equivalent combination of education and experience

Originally posted on Himalayas

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