FS

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