Data Engineer Snaplogic
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 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.
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 and 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 CICD pipelines for data engineering deployments.
SnapLogic certifications preferred.
Required Experience:
IC
Data Engineer SnaplogicJob SummaryWe are seeking a skilled Data Engineer with strong SnapLogic experience to design develop and maintain scalable data integration pipelines. The ideal candidate will have hands on expertise in SnapLogic ETL ELT processes cloud platforms and data warehousing technolog...
Data Engineer Snaplogic
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 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.
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 and 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 CICD pipelines for data engineering deployments.
SnapLogic certifications preferred.
Required Experience:
IC
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