Etl Talend Developer

Datamatics; Bengaluru, Mumbai; On-site; INR 1,400,000 - 1,900,000; Full time

Job summary

Datamatics is seeking a Senior ETL Talend Developer in India to join a data-driven team. You will design, develop, and optimize ETL processes, focusing on large-scale data integration using Talend and IBM DataStage.

Strong SQL and data warehousing expertise are required to deliver reliable analytics solutions. The role emphasizes performance tuning, data modeling, and adherence to release management practices.

Qualifications

• 6+ years of experience in ETL development and data integration.
• Minimum 4 years of hands-on experience in Talend and IBM DataStage.
• Proficient in ETL design, performance tuning, and large-scale data processing.
• Strong SQL skills; experience with Oracle ExaCC and DB2.
• Experience with Cloudera Data Platform (CDP).
• Analytical mindset with attention to detail.
• Ability to translate business requirements into technical specs.
• Knowledge of data modeling, data warehousing, and data lifecycle management.
• Familiarity with Git, SVN and formal release management processes.
• Excellent communication and documentation skills.

Skills

ETL development

Data integration

SQL

Data modeling

Data warehousing

Release management

Version control

Communication skills

Tools

Talend

IBM DataStage

Git

SVN

Cloudera CDP

Oracle ExaCC

DB2

Job description

Job Title

Senior ETL Talend Developer

Job Location

Mumbai/Bangalore

Job Description

• 6+ 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.
• J cellent communication, interpersonal, and documentation skills.J