Snaplogic Developer
Job Summary We are seeking a skilled Data Engineer with strong SnapLogic experience to design, develop, and maintain scalable data integration pipelines. The ideal candidate will have experience in data engineering, with hands-on expertise in SnapLogic, ETL/ELT processes, cloud platforms, and data warehousing technologies. Key Responsibilities Design, develop, and maintain data integration pipelines using SnapLogic. Build and optimize ETL/ELT workflows for data ingestion, transformation, and loading. Integrate data from various source systems such as databases, APIs, cloud services, and flat files. Work with cloud platforms (AWS / Azure / GCP) for scalable data solutions. Develop and maintain data pipelines for data warehouses and data lakes. Monitor and troubleshoot SnapLogic pipelines to ensure performance, reliability, and scalability. Provide production support for data pipelines, including monitoring, incident handling, troubleshooting, and root cause analysis (RCA). Collaborate with data architects, analysts, and business stakeholders to understand data requirements. Implement data quality, governance, and security best practices. Perform performance tuning and optimization of pipelines. Document technical designs, processes, and data flows. Support production deployments and resolve data pipeline issues. Required Skills & Qualifications Strong hands-on experience with SnapLogic Integration Platform. Experience designing and developing ETL/ELT pipelines. Strong knowledge of SQL and relational databases (Oracle, SQL Server, PostgreSQL, etc.). Experience with data warehousing concepts and dimensional modeling. Familiarity with REST APIs, JSON, XML, and web services integration. Experience with cloud platforms (AWS / Azure / GCP). Good understanding of data governance, data quality, and metadata management. Strong debugging and troubleshooting skills. Preferred Skills Experience with Snowflake, Redshift, BigQuery, or Azure Synapse. Familiarity with Python or scripting for data processing. Experience working in Agile/Scrum environments. Knowledge of CI/CD pipelines for data engineering deployments. SnapLogic certifications (preferred).
Job Summary We are seeking a skilled Data Engineer with strong SnapLogic experience to design, develop, and maintain scalable data integration pipelines. The ideal candidate will have experience in data engineering, with hands-on expertise in SnapLogic, ETL/ELT processes, cloud platforms, and data warehousing technologies. Key Responsibilities Design, develop, and maintain data integration pipelines using SnapLogic. Build and optimize ETL/ELT workflows for data ingestion, transformation, and loading. Integrate data from various source systems such as databases, APIs, cloud services, and flat files. Work with cloud platforms (AWS / Azure / GCP) for scalable data solutions. Develop and maintain data pipelines for data warehouses and data lakes. Monitor and troubleshoot SnapLogic pipelines to ensure performance, reliability, and scalability. Provide production support for data pipelines, including monitoring, incident handling, troubleshooting, and root cause analysis (RCA). Collaborate with data architects, analysts, and business stakeholders to understand data requirements. Implement data quality, governance, and security best practices. Perform performance tuning and optimization of pipelines. Document technical designs, processes, and data flows. Support production deployments and resolve data pipeline issues. Required Skills & Qualifications Strong hands-on experience with SnapLogic Integration Platform. Experience designing and developing ETL/ELT pipelines. Strong knowledge of SQL and relational databases (Oracle, SQL Server, PostgreSQL, etc.). Experience with data warehousing concepts and dimensional modeling. Familiarity with REST APIs, JSON, XML, and web services integration. Experience with cloud platforms (AWS / Azure / GCP). Good understanding of data governance, data quality, and metadata management. Strong debugging and troubleshooting skills. Preferred Skills Experience with Snowflake, Redshift, BigQuery, or Azure Synapse. Familiarity with Python or scripting for data processing. Experience working in Agile/Scrum environments. Knowledge of CI/CD pipelines for data engineering deployments. SnapLogic certifications (preferred).