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ETL Lead

Nice Software Solutions Pvt. Ltd.

5 - 10 years

Pune

Posted: 23/12/2025

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Job Description

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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