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Technical Lead - Data Engineering
Frontwalker Sri Lankalinkedin.com
Oct 8, 2026, 11:48 AM2w ago
Full-timeColombo, Western ProvinceData engineeringLead (5+ yrs)
About the role
The Technical Lead - Data Engineering will be responsible for designing and developing large-scale data processing solutions for a major global corporation in the food marketing and distribution sector. The role involves collaborating with agile, cross-functional teams, guiding database design and optimization, and ensuring adherence to DevOps principles. The position also requires involvement throughout the software lifecycle, from development and QA to deployment and post-production support. Candidates should have significant experience in enterprise application development, data integration, and team management, as well as strong communication and leadership skills.
Must have
- A bachelor's degree in computer science or equivalent, and 5/6+ years ofexperience developing production enterprise applications, data integration solutions and in managing teams.
- Excellent communication and leadership skills.
- Hands on experience working with large volumes of data and distributed processing frameworks (preferably Apache Spark).
- Hands-on experience in designand development of ETLs to process large volumes of data.
- Hands-on experience in workingwith large relational databases (preferably MySql).
- In-depth understanding of the database design/optimization methodologies (OLAP/OLTP database design techniques, query plan analysis).
- In-depth understanding of the software engineering methodologies (UML/Design patterns).
Nice to have
- Experience in working with NoSql databasesand bigdata (Hadoop,Elasticsearch, CouchDB, MongoDB) technologies will be an added advantage.
- Working in a Scrum Agile delivery environment and DevOps practices, as well as prior experience working with Cloud IaaS or PaaS providers such as AWS will be an added advantage.
Technologies
- Agile
- AWS
- CI/CD
- CouchDB
- Data Engineering
- DevOps
- Elasticsearch
- ETL
- Hadoop
- MongoDB
- MySQL
- NoSQL
- Scrum
- Spark
- UML