Job Role : Senior Data Engineer Talend Responsible for designing, developing, and maintaining scalable ETL pipelines using Talend, integrating data across on-premises, big data, and cloud platforms while ensuring performance, quality, and governance.

Experience :

- Total Experience : 7+ years in Data Engineering and ETL Development

- Proven expertise in Talend ETL, data pipeline design, SQL, and big data/cloud integration

Education Qualification : MSc-IT / MCA / B.Tech / B.E. from a reputed institute

Technical Skills :

- ETL & Data Pipelines : Talend ETL, Data Pipeline Design & Development

- Databases & SQL : Advanced SQL, Query Optimization, Performance Tuning

- Big Data Integration : Hadoop, Spark

- Cloud ETL Platforms : AWS Glue, Azure Data Factory, GCP Dataflow

- Data Quality & Governance : Data Validation, Metadata Management, Compliance

- Other : Strong debugging, optimization, and automation skills

Relevant Skills :

- Building and optimizing ETL pipelines using Talend

- Designing robust data ingestion, transformation, and integration processes

- Managing big data frameworks (Hadoop/Spark) for large-scale data processing

- Cloud-native ETL development (AWS, Azure, GCP)

- Applying performance tuning to optimize data processing workflows

- Ensuring data quality, governance, and compliance in data engineering solutions

- Collaborating with cross-functional teams for scalable data solutions

Roles & Responsibilities :

- Design, build, and maintain ETL pipelines using Talend and other tools

- Develop data ingestion, transformation, and integration workflows across on-prem and cloud platforms

- Implement and optimize big data integration using Hadoop and Spark

- Work on cloud ETL solutions (AWS Glue, Azure Data Factory, GCP Dataflow)

- Ensure data quality, consistency, and governance across multiple sources

- Tune performance of SQL queries and ETL workflows for efficiency

- Collaborate with business stakeholders and data teams to align architecture with requirements

- Troubleshoot, optimize, and automate ETL and data processes

- Document and maintain best practices for data engineering solutions

If you are passionate about building scalable ETL pipelines, optimizing data integration, and driving data quality and governance, this role is for you.