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EY EY-GDS Consulting-AI DATA-Talend Developer-GIG 
India, Kerala, Thiruvananthapuram 
276355237

23.06.2024

Job Description:

  • Position Senior ETL Developer
  • Primary Skills:
    • ETL Talend
    • Java (Customizations on Talend)
  • Secondary Skills:
  • Snowflake
  • 8+ year’s experience as ETL developer or Lead role, expertise in Talend ,SQL and experience in writing custom JAVA code on Talend
  • Has played key roles in multiple large global transformation programs on business process management.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience using Talend Open Studio (7.x) and experience with Talend Admin Console (TAC). Extensively used Talend jobs for performing Data Migration, Extraction, Transformation and Loading using Talend.
  • Should have experience working on building/integrating data into a data warehouse.
  • Experience in data profiling and reconciliation
  • Good experience in performance tuning ETL workflows and suggest improvements.
  • Developed expertise in complex data management or Application integration solution and deployment in areas of data migration, data integration, application integration or data quality.
  • Experience in creating complex Talend jobs,(Joblets, routines, data processing, orchestration, parallelization, transformations and ETL Fundamentals.
  • Leverages on variety of programming languages & data crawling/processing tools to ensure data reliability, quality & efficiency (optional)
  • Knowledge on Cloud infrastructure and knowledge on Talend cloud is an added advantage.
  • Should have knowledge of error handling and performance tuning in Talend.
  • Knowledge of data modelling principles.
  • Knowledge in Autosys scheduling good experience in database technologies.
  • Good knowledge in Unix system

Responsibilities:

  • Create and maintain optimal data pipeline architecture.
  • Data Extract development & Scheduling ETL jobs.
  • Defining Metrics for Automation.
  • Automating the workflow monitoring process.
  • Assemble large, complex data sets that meet business requirements.
  • Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilty, etc.
  • Work with the Stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data needs.
  • Work with data, analytics experts and Business Intelligence team to strive for greater functionality in our data systems.

Education:



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