We are seeking an experienced Senior Data Engineer with strong expertise in data integration, data modeling, and end-to-end ETL development across diverse enterprise environments. The ideal candidate will have extensive hands-on experience with Talend (cloud & on-premise), SSIS, Snowflake, and Data Vault methodologies, along with a proven track record in managing large-scale migration and data warehousing projects. This role demands strong analytical, problem-solving, and communication skills to collaborate with cross-functional teams and deliver high-quality, optimized data solutions.
Key Responsibilities:
- Lead the design, development, and deployment of scalable ETL processes using Talend, SSIS, and Snowflake for multi-source data ingestion and transformation.
- Architect and implement enterprise data models (dimensional, logical, and physical) using ERwin and MySQL Workbench, incorporating Data Vault 2.0 practices.
- Collaborate with business analysts to gather requirements, define technical specifications, and create robust data mapping frameworks.
- Oversee migration initiatives from legacy SSIS-based systems to Talend Cloud/Teradata, enhancing orchestration flows, automation, and CI/CD pipelines.
- Optimize SQL scripts, perform query tuning, and manage multi-layer data architectures to improve performance and reliability.
- Maintain version control (TFS, Git), troubleshoot production issues, and ensure ongoing support for existing BI and ETL solutions.
Job Requirements:
- Bachelor’s or Master’s degree in IT, Computer Science, or related field.
- 10+ years of experience in ETL development, data integration, and data modeling.
- Proficiency in Talend (v7.3 & v8.0), SSIS, Snowflake, SQL Server, and MariaDB.
- Strong expertise in ERwin Data Modeler, Data Vault 2.0, and performance optimization.
- Experience with Azure DevOps, Git, TFS, and CI/CD pipelines.
- Excellent problem-solving, analytical, and communication skills.
Report job
