Galent · 5 hours ago
Senior Data Engineer- Local Candidates only
Responsibilities
Designing and developing ETL/ELT workflows using Talend 8.0 on Cloud
Integrating data from APIs, flat files, and streaming sources
Ingesting and managing data in AWS S3–based data lakes
Developing PySpark jobs for large-scale data processing and transformations
Implementing Spark SQL for complex transformations and schema management
Building and supporting cloud-native data pipelines using AWS services such as Glue, Lambda, Athena, and EMR
Applying performance tuning and optimization techniques for Spark workloads
Qualification
Required
10+ years of experience in data engineering, big data, or ETL development roles
Strong hands-on expertise with Talend ETL (Talend Cloud / Talend 8.x)
Advanced experience in PySpark and Spark SQL for large-scale data processing
Proficiency in Python, including building reusable data transformation modules
Solid experience with AWS data services, including: S3 for data lake storage and lifecycle management, Glue for ETL/ELT orchestration, Lambda for event-driven processing, Athena for serverless analytics, EMR for Spark/PySpark workloads
Strong understanding of ETL/ELT patterns, data lakes, and distributed systems
Ability to optimize performance, ensure data quality, and build production-ready pipelines
Excellent collaboration skills and experience working with cross-functional teams
Company
Galent
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
Funding
Current Stage
Late StageCompany data provided by crunchbase