Posted on: 12/12/2025
Description : Data Engineering SME Talend / Datastage / Oracle / Cloudera. 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 :
- 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 :
- 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 :
- 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 :
- 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 :
- Experience with Spark, Kafka, or Python.
- Knowledge of CI/CD, version control, and DevOps practices.
Did you find something suspicious?
Posted by
Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1589108
Interview Questions for you
View All