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Hiring Talend CDP Developer with Datamatics - Mumbai/Bangalore

Datamatics · Bengaluru, Karnataka, India - Mumbai, Maharashtra, India

3–10 yrs experiencefull_timePosted 2mo ago

Job description

Key responsibilities • Design, develop, and maintain robust ETL solutions using Talend and IBM DataStage.. • Analyze complex data requirements and build efficient ETL pipelines to support business needs. • Collaborate with business stakeholders and cross-functional IT teams to understand data integration needs and propose optimal solutions. • Perform data extraction, transformation, and loading from various data sources into target systems like Cloudera Data Platform (CDP), DB2, and Oracle ExaCC. • Implement data quality checks, exception handling, and performance optimization in ETL processes. • Conduct unit testing, validate data accuracy, and troubleshoot technical issues in ETL jobs. • Create and maintain comprehensive technical documentation, including mappings, workflows, and data dictionaries. • Participate in code reviews, deployments, and production support as needed. • Adhere to and actively participate in the mandatory release management process for all development activities. • Ensure adherence to data governance, security, and compliance standards. • Stay current with industry best practices and tools in ETL and data integration technologies. Required Skills • 8+ years of experience in ETL development and data integration. • Minimum 4 years of strong hands-on experience in Talend (preferably Talend Open Studio/Enterprise) and IBM DataStage. • Proficient in ETL job design, performance tuning, and handling large-scale data processing. • Solid understanding of RDBMS concepts, expert-level SQL skills, and experience working with databases such as Oracle ExaCC and DB2. • Hands-on experience with big data platforms, specifically Cloudera Data Platform (CDP). • Strong analytical and problem-solving skills with attention to detail. • Ability to interpret business requirements and convert them into technical specifications. • Good understanding of data modeling, data warehousing concepts, and data lifecycle management. • Experience with version control systems (e.g., Git, SVN) and formal release management processes. • Excellent communication, interpersonal, and documentation skills.

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