Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

ibainfotech.com

Tech stack

Unit Testing Big Data Data Validation Extract Transform Load (ETL) Data Mining Software Design Patterns Apache Hadoop Subversion Systems Architecture Talend Non-relational Database

Job description

• Define Talend System Architecture - define Standard Environment, Common Sandbox, Individual project, Environment Parameters, SVN Repository setup, server nodes, defining work areas, server directory structure, etc·
• Define reusable design patterns e.g. data movement (inbound/outbound) processes, surrogate key generation process, data validation processes, data load process, data extraction process, etc.·
• Define / Develop foundational components - Error / Audit framework, Source acquisition ETL framework, etc·
• Assist developers to fine-tune Talend performance.
• Optimize development through solution accelerators & value creators.
• Ensure job modularity by dividing the ETL flow into manageable jobs/processes to ensure reusability. Identify dependencies b/w multiple ETL flows and define the coding specifications
• Create detailed technical design documents.
• Review unit test cases and test results.
• Oversee Talend development. Guide and mentor the developers during coding and testing. Review the ETL code for logic as well as performance.
• Hand-On on ETL technologies (Talend) - to support the ETL Developer community
• Working alongside Principal Consultant to assist with the implementation of Talend solutions including best practices, methods, techniques, tools, change management, and training.
• Providing different team leads with effective support on ETL optimization.
• Review & Optimization of ETL jobs
• Relational & Non-Relational Database skills

Requirements

• Overall 12-15 years+ of ETL Or Big Data Architect
• 3 years experience on Talend, it has to be recent experience
• Some Big Data hands-on work experience like Hadoop, HiveSpark is good to have

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