ETL Lead
2 weeks ago
Data Engineering SME – Talend / Datastage / Oracle / Cloudera
Location - DUBAI (ON-SITE)
Experience - 10+ Years
Job Description
We are looking for a highly skilled Data Engineering SME with deep expertise in Talend or Datastage, strong hands-on experience in Oracle or Cloudera/Hadoop ecosystems, and excellent SQL & data engineering skills. The ideal candidate will play a key role in designing, building, optimizing, and supporting enterprise-grade data pipelines and data integration solutions.
Key Responsibilities
Data Engineering & ETL Development
- Design, develop, and optimize ETL pipelines using Talend or IBM Datastage.
- Build scalable data integration workflows for batch and real-time data processing.
- Implement transformation logic, error handling, performance tuning, and reusable ETL frameworks.
- Drive migration and modernization of existing ETL processes to Talend, Datastage, or Cloudera platforms.
Data Platform Expertise
- Manage and maintain data workflows on Oracle, Cloudera/Hadoop, or hybrid cloud environments.
- Work with Oracle PL/SQL, partitions, indexes, stored procedures, and query optimization.
- Hands-on experience with Hadoop components such as HDFS, Hive, Impala, Spark (optional but preferred).
- Support end-to-end data lifecycle including ingestion, transformation, storage, and delivery.
SQL & Data Modeling
- Write advanced SQL for complex transformations, data validation, profiling, and analysis.
- Build logical and physical data models aligned with business requirements.
- Perform data quality checks, root cause analysis, and impact assessments.
- Ensure data accuracy, completeness, and consistency across systems.
Solution Design & SME Role
- Act as the Subject Matter Expert for all ETL/data engineering design decisions.
- Provide best practices, standards, and architectural guidance on data integration.
- Collaborate with cross-functional teams including BI, Analytics, Product, and Platform groups.
- Review team deliverables and ensure technical quality and performance.
- Support production systems, troubleshoot failures, and ensure high availability.
Testing & Documentation
- Conduct end-to-end testing: unit, functional, regression, integration, and performance.
- Ensure detailed documentation for data flows, mappings, and ETL processes.
- Create operational guides, SOPs, and knowledge-sharing collateral for the team.
Required Skills & Experience
Technical Skills
- Talend (preferred) or IBM Datastage – expert-level proficiency.
- Strong experience in Oracle (PL/SQL, performance tuning) or Cloudera/Hadoop.
- Deep understanding of ETL frameworks, data warehousing, data pipelines.
- Strong SQL skills – joins, window functions, analytical queries, optimization.
- Experience with data modeling, data quality, and metadata management.
- Familiarity with UNIX/Linux scripting, job scheduling, and automation tools.
Nice-to-Have
- Exposure to cloud data environments like AWS, Azure, or GCP.
- Experience with Spark, Kafka, or Python.
- Knowledge of CI/CD, version control, and DevOps practices.
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