Lead Developer Big Data Talend ETL

• Design, develop, and maintain complex ETL pipelines using Talend Big Data components executed on the Spark framework.
• Build and manage ETL solutions to ingest data from structured and unstructured sources.
• Develop Talend Jobs, Joblets, and custom Java-based components.
• Perform installation, configuration, and maintenance of Talend Job Server, TAC Server, and related components.
• Optimize Talend jobs for performance, scalability, and parallel execution across multiple environments.
• Deploy Talend jobs across environments and support automated deployment pipelines.
• Create and manage Context Groups, parameterization frameworks, and custom routines.
• Implement robust error handling, monitoring, logging, alerting, and reporting mechanisms.
• Write and execute unit test cases and support integration testing.
• Participate in performance tuning, troubleshooting, and best-practice recommendations.
• Use Talend Administration Console (TAC) for job scheduling, deployment, and administration (advantage).
• Provide operational support for data services, including production issue resolution and coordination with platform teams.

• Must‑Have Skills
• 4+ years of hands-on experience with Talend Big Data ETL platform.
• Strong experience developing Talend jobs on Spark-based architectures.
• Strong SQL programming skills (preferably SQL Server).
• Strong understanding of:
  • End-to-end ETL lifecycle and data integration fundamentals
  • Talend core components, transformations, orchestration, and optimization
  • Joblets, custom components, and Java-based custom logic
  • Error handling, monitoring, and performance tuning frameworks
• Java debugging fundamentals, especially during TAC executions.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Big Data & Cloudera Platform Skills (Required)
• Advanced development and optimization using Hive and Impala.
• Strong hands-on experience with HDFS and Hadoop at the user level.
• Solid working knowledge of Linux and command-line environments.
• Experience in data modeling and data layout design on HDFS for analytical workloads.
• Proven ability in performance tuning of:
  • Hive and Impala queries
  • Partitioning strategies and file formats (Parquet, ORC)
• Operational support experience involving troubleshooting, monitoring, and coordination with Cloudera platform administrators.

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

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