Back
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