Employment Type: Contract / Permanent
Role Overview
We are seeking an experienced Snowflake Engineer with strong expertise in Snowflake Azure and Databricks to support enterprise-scale cloud data engineering initiatives. The ideal candidate will have hands-on experience designing scalable ETL/ELT pipelines optimizing cloud data platforms and delivering high-performance data solutions.
Key Responsibilities
- Design develop and optimize ETL/ELT pipelines using Snowflake and Azure technologies.
- Build and maintain scalable data integration solutions using Databricks and PySpark.
- Implement Snowflake best practices for performance tuning security and cost optimization.
- Work with Azure cloud services for data ingestion transformation and orchestration.
- Collaborate with architects business stakeholders and engineering teams to deliver enterprise data solutions.
- Support CI/CD automation and DevOps practices within cloud data environments.
- Troubleshoot and resolve data pipeline and platform performance issues.
Required Skills & Experience
- Strong hands-on experience with Snowflake Cloud Data Platform.
- Experience with Azure Data Engineering technologies.
- Strong expertise in Databricks PySpark and SQL.
- Experience building scalable ETL/ELT pipelines.
- Knowledge of data modelling performance optimization and data governance.
- Exposure to CI/CD and cloud integration practices.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- SnowPro Certification preferred.
- Experience working on enterprise cloud migration projects.
- Exposure to Agile delivery environments.
Employment Type: Contract / Permanent Role Overview We are seeking an experienced Snowflake Engineer with strong expertise in Snowflake Azure and Databricks to support enterprise-scale cloud data engineering initiatives. The ideal candidate will have hands-on experience designing scalable ETL/ELT pi...
Employment Type: Contract / Permanent
Role Overview
We are seeking an experienced Snowflake Engineer with strong expertise in Snowflake Azure and Databricks to support enterprise-scale cloud data engineering initiatives. The ideal candidate will have hands-on experience designing scalable ETL/ELT pipelines optimizing cloud data platforms and delivering high-performance data solutions.
Key Responsibilities
- Design develop and optimize ETL/ELT pipelines using Snowflake and Azure technologies.
- Build and maintain scalable data integration solutions using Databricks and PySpark.
- Implement Snowflake best practices for performance tuning security and cost optimization.
- Work with Azure cloud services for data ingestion transformation and orchestration.
- Collaborate with architects business stakeholders and engineering teams to deliver enterprise data solutions.
- Support CI/CD automation and DevOps practices within cloud data environments.
- Troubleshoot and resolve data pipeline and platform performance issues.
Required Skills & Experience
- Strong hands-on experience with Snowflake Cloud Data Platform.
- Experience with Azure Data Engineering technologies.
- Strong expertise in Databricks PySpark and SQL.
- Experience building scalable ETL/ELT pipelines.
- Knowledge of data modelling performance optimization and data governance.
- Exposure to CI/CD and cloud integration practices.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- SnowPro Certification preferred.
- Experience working on enterprise cloud migration projects.
- Exposure to Agile delivery environments.
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