
Senior Engineer, Data Engineering
1 week ago
Experience: 7+ years
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
ETL & Data Pipelines: Talend ETL, Data Pipeline Design & Development
Databases & SQL: Advanced SQL, Query Optimization, Performance Tuning
Big Data Integration: Cloud ETL Platforms: AWS Glue, Azure Data Factory, GCP Dataflow
Data Quality & Governance: Data Validation, Metadata Management, Compliance
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
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.
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