Experience: 8–12 Years
Location: Dubai, UAE
Company: Edgematics Group
About Edgematics
Edgematics is a global Data and AI consulting company helping Fortune 500 enterprises unlock the value of their data. With advanced platforms such as PurpleCube AI and Axoma, we deliver scalable data engineering, analytics, and AI solutions across industries.
Role Overview
We are looking for an experienced Talend Tech Lead with strong expertise in Talend Big Data Platform and modern data engineering technologies. The ideal candidate should have hands-on experience designing and implementing large-scale data integration and big data solutions, along with the ability to lead technical teams and guide architecture decisions.
Key Responsibilities
- Lead the design and development of data integration solutions using Talend Big Data Platform.
- Build and optimize ETL/ELT pipelines for large-scale data processing.
- Work with big data technologies such as Hadoop, Spark, Hive, and distributed data platforms.
- Design and implement data pipelines for batch and real-time data processing.
- Collaborate with architects, data engineers, and business stakeholders to deliver scalable solutions.
- Provide technical leadership and mentoring to the data engineering team.
- Ensure best practices in data architecture, performance optimization, and data governance.
- Troubleshoot and resolve complex data integration and performance issues.
Required Skills
- 8+ years of experience in Data Engineering / ETL development
- Strong hands-on experience with Talend Big Data Platform
- Experience with big data technologies (Hadoop ecosystem, Spark, Hive, etc.)
- Strong knowledge of SQL and relational databases
- Experience working with data warehouses and large-scale data processing
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Strong problem-solving and leadership skills
Preferred Qualifications
- Experience working in enterprise data platforms or large-scale data environments
- Knowledge of data modeling and data warehousing concepts
- Experience with data orchestration and scheduling tools
- Ability to work in client-facing and cross-functional environments