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We are seeking a skilled Ab Initio or Talend Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing, and optimizing ETL workflows and data integration solutions using Ab Initio or Talend. The role involves working closely with business and technology teams to ensure seamless data processing and transformation.
Job Responsibility:
Design, develop, and implement ETL (Extract, Transform, Load) pipelines using Ab Initio or Talend
Work with structured, semi-structured, and unstructured data from multiple sources
Optimize data processing and transformation workflows for efficiency and scalability
Troubleshoot and resolve performance issues in ETL processes
Collaborate with data architects, analysts, and business teams to define data requirements
Ensure data quality, integrity, and governance standards are met
Develop and maintain metadata and documentation for ETL processes
Work with big data technologies (Hadoop, Spark, etc.) if applicable
Implement and manage job scheduling and automation tools
Requirements:
4-8 years of experience working with Ab Initio (GDE, Express>IT, Conduct>IT) or Talend (Data Fabric, Open Studio, etc.)
Strong knowledge of SQL, PL/SQL, and database systems (Oracle, SQL Server, PostgreSQL, etc.)
Experience with ETL optimization, debugging, and performance tuning
Familiarity with big data ecosystems (Hadoop, Spark, Hive) is a plus
Experience in API integration, web services, and cloud platforms (AWS, Azure, GCP) is a plus
Strong understanding of data warehousing concepts and ETL best practices
Hands-on experience with version control tools (Git, SVN, etc.)
Strong analytical and problem-solving skills
Excellent communication and teamwork skills
Nice to have:
Experience with data governance and data security best practices
Certifications in Ab Initio, Talend, or cloud technologies are a plus
Experience with CI/CD pipelines for ETL deployment
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