Talend Big Data Engineer
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About the Role
Job Title: Talend Tech Lead Experience: 8–12 Years Location: Dubai, UAE Salary: upto 25K AED Role Overview We are looking for an experienced Talend Tech Lead with strong expertise in Talend Big Data Platform and modern data engineering technologies.
Key Skills for This Role
Full Job Posting
Salary
upto 25K AED
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.
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
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.
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
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