Hybrid Senior Data Engineer

Posted 3 weeks ago

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About the role

  • Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products
  • Implementing distributed and highly available data processing applications that scale for enterprise demands
  • Adhering to Continuous Integration and Continuous Delivery (CI/CD) of solutions
  • Ensuring high code quality by following software engineering best practices
  • Working collaboratively in a cross-functional team within an Agile delivery environment
  • Adhering to DevOps principles and being involved in projects throughout their full software lifecycle — from development, QA, and deployment to post-production support

Requirements

  • A Bachelor’s Degree in Computer Science or equivalent
  • 5 years of experience in developing enterprise-grade data processing applications
  • A strong programming background in data operations (Python, Shell, SQL)
  • Experience in processing large volumes of data
  • Hands-on experience working with relational/ NoSQL databases and distributed storage engines (HDFS, S3, Redshift)
  • Hands-on experience in ETL design and development using ETL tools (preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive, and data engineering tools/services on Google Cloud Platform)
  • Experience in working with streaming data (using tools such as Kinesis, Kafka, Storm, Spark) will be an added advantage
  • Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage
  • Experience working in a Scrum Agile delivery environment and DevOps practices
  • Experience in code management and CI/CD tools such as GitHub, GitLab, and Jenkins
  • Experience in an agile environment and aligning pod members on technical visions and implementation paths
  • A strong desire to continue to grow your skillset
  • Strong communication skills that are influential and convincing

Benefits

  • Competitive compensation
  • Recognition & appreciation
  • Training & certifications funded
  • International exposure
  • Open work culture
  • Recreational activities & events
  • Medical claims & insurance
  • Bonus entitlement

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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