HF

Data Engineer

H Fix Solutionsitpro.lk
Sep 29, 2026, 7:45 PM3w ago
Full-timeColomboData engineeringJunior (1+ yr)

About the role

As a Data Engineer, you will be responsible for designing and developing data solutions for a major global corporation in the food marketing and distribution sector. The role involves implementing distributed, highly available data processing applications, adhering to CI/CD and DevOps principles, and ensuring high code quality through software engineering best practices. You will work collaboratively within a cross-functional Agile team, participating in the full software lifecycle from development to post-production support. The ideal candidate will have a strong programming background in data operations, experience with large data volumes, and hands-on expertise with relational/NoSQL databases, distributed storage, and ETL tools.

Must have

  • A Bachelor's Degree in Computer Science or equivalent, and 1-2 years of experience in developing enterprise grade data processing applications.
  • A strong programming background in data ops (Python, Shell, SQL).
  • Experience in processing large volume of data.
  • Hands on experience in 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).
  • Experience in working with streaming data (using tools such as Kenisis, 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
  • Working in a Scrum Agile delivery environment and DevOps practices.
  • Experience in code management and CICD tools such as Github, Gitlab, Jenkins.
  • Experience in an agile environment and aligning Pod members on technical vision and path to implementation.
  • A strong desire to continue to grow your skillset.
  • Strong communication skills that is influential and convincing.

Technologies

  • Agile
  • Angular
  • AWS
  • Bash
  • CI/CD
  • Data Pipelines
  • DevOps
  • ETL
  • GitHub
  • GitLab
  • Hive
  • HTML
  • Jenkins
  • Kafka
  • AWS Lambda
  • Node.js
  • NoSQL
  • Python
  • Redshift
  • S3
  • Scrum
  • Spark
  • SQL