Talend Developer

Role & responsibilities

Title: Talend Senior Developer

Experience: 7-9Y

Location: Hyderabad, (Work From office 5 days a week)

Type of Hire: Full Time

Overview

Talend Senior Developer

Key Responsibilities

• ETL Process Development

• Design, develop, and optimize ETL processes using Talend Studio and related tools to meet business requirements.
• Maintain, enhance, and troubleshoot existing Talend ETL workflows for data integrity and performance.
• Build and deploy Talend pipelines for integrating data from various sources including databases, files, APIs, and cloud platforms.

• Solution Architecture & Analysis

• Analyze business and technical requirements to design scalable data integration architectures.
• Lead design review sessions and translate business requirements into technical system flows, data flows, and mappings.

• Performance & Quality

• Implement robust error handling, validation, and data cleansing logic within Talend jobs.
• Optimize ETL processes for scalability, reliability, and performance, including parallelization and tuning of components.
• Serve as a technical subject matter expert and mentor to junior developers.
• Collaborate with cross-functional teams (business analysts, data architects, DevOps, DBAs, etc.) to deliver data solutions.
• Drive and support multiple projects simultaneously; contribute to project planning, estimation, and best-practices adoption.

• Documentation & Compliance

• Document ETL processes, technical specifications, and architecture diagrams for ongoing support and governance.
• Ensure solutions comply with organizational standards for security, quality, and data governance.

• System Operations & Support

• Monitor, support, and troubleshoot production ETL jobs and data pipelines.
• Schedule, deploy, and manage Talend jobs through management consoles (TAC, TMC).
• Handle ongoing maintenance, upgrades, and performance analysis of the Talend environment.

Required Skills & Qualifications

Skill Area

Requirements

Talend Expertise

Proficiency with Talend Studio (including Open Studio, Cloud, Big Data, MDM, DI, DQ); advanced component knowledge (tMap, tJoin, orchestration modules).

Snowflake SQL

Strong experience with Snowflake SQL for writing, optimizing, and troubleshooting queries within Snowflake environments.

Database Skills

Strong SQL proficiency; experience with major RDBMS (e.g., Oracle, PostgreSQL, MySQL) and big data systems.

Programming

Experience with Unix/Linux shell scripting and basic Java or JavaScript for Talend customization.

Performance Tuning

Ability to optimize and scale ETL solutions; troubleshooting and root cause analysis.

ETL Fundamentals

Deep understanding of data integration, warehousing, data modeling, and system architecture.

Leadership

Ability to mentor, lead design reviews, and set best practices for the ETL team.

DevOps & CICD

Familiarity with source control (Git, SVN), CI/CD frameworks, and DevOps concepts for ETL deployments.

Communication

Excellent written and verbal communication, strong collaboration skills.

Preferred candidate profile

Education

Bachelors degree in Computer Science, Engineering, or related field (preferred), plus 5+ years of professional ETL/Talend experience.

Key Attributes

• Strong technical analysis and problem-solving skills.
• Attention to detail, self-motivation, and ability to multitask.
• Adaptable to changing project requirements and able to work independently or as part of a team.
• Commitment to continuous learning and staying updated with data integration and Talend best practices.

Typical Job Duties Summary

• Lead analysis, design, implementation, and maintenance of large-scale data integration projects.
• Optimize, document, and support Talend-based ETL processes.
• Mentor junior team members and provide technical direction.
• Champion performance, data quality, and system reliability.

Additions to Job Responsibilities

• Integrate Talend data pipelines with Snowflake, leveraging Snowflake SQL for ELT/ETL transformations, data quality checks, and performance optimization.
• Design and optimize complex queries, procedures, and data flows within Snowflake to support scalable analytics and reporting.
• Troubleshoot, tune, and monitor Snowflake-based jobs and queries for efficiency and accuracy.
• Collaboration & Leadership