Azure Data Engineer Databricks & Data Factory
Experience: 68 years
Role Overview:
We are looking for a Senior Azure Data Engineer with strong expertise in Azure Data Factory Databricks and Azure SQL. The ideal candidate will design develop and maintain data pipelines ETL/ELT processes and data warehousing solutions while collaborating closely with business stakeholders and ensuring high-quality production-ready data solutions.
Key Responsibilities:
- Develop optimize and troubleshoot Azure Data Factory pipelines and Databricks notebooks using PySpark Spark SQL and Delta Lake.
- Design and implement ETL/ELT processes data ingestion patterns and data warehousing solutions (EDW/BDW).
- Monitor and resolve pipeline failures cluster issues and performance bottlenecks.
- Collaborate with stakeholders to gather requirements perform data mapping/profiling and document systems effectively.
- Utilize Azure DevOps Git version control and CI/CD pipelines for deployment and release management.
- Implement monitoring using Azure Monitor Log Analytics and Databricks logs to ensure system reliability.
Essential Skills:
- Strong hands-on experience with Azure Data Factory Databricks and Azure SQL.
- Expertise in PySpark Spark SQL Delta Lake and Python/Pandas.
- Solid understanding of ETL/ELT concepts data ingestion and data warehousing.
- Experience with Azure DevOps Git and CI/CD pipelines.
- Ability to troubleshoot production issues and optimize pipeline performance.
Desirable Skills:
- 68 years of professional experience ideally in the insurance domain.
- Strong Business Systems Analysis (BSA) skills: requirement gathering PIA completion stakeholder follow-ups data mapping/profiling and documentation.
- Familiarity with EDW/BDW Python processes developed in F22/F23.
- Self-starter with excellent analytical documentation and problem-solving skills.
Azure Data Engineer Databricks & Data FactoryExperience: 68 yearsRole Overview:We are looking for a Senior Azure Data Engineer with strong expertise in Azure Data Factory Databricks and Azure SQL. The ideal candidate will design develop and maintain data pipelines ETL/ELT processes and data warehou...
Azure Data Engineer Databricks & Data Factory
Experience: 68 years
Role Overview:
We are looking for a Senior Azure Data Engineer with strong expertise in Azure Data Factory Databricks and Azure SQL. The ideal candidate will design develop and maintain data pipelines ETL/ELT processes and data warehousing solutions while collaborating closely with business stakeholders and ensuring high-quality production-ready data solutions.
Key Responsibilities:
- Develop optimize and troubleshoot Azure Data Factory pipelines and Databricks notebooks using PySpark Spark SQL and Delta Lake.
- Design and implement ETL/ELT processes data ingestion patterns and data warehousing solutions (EDW/BDW).
- Monitor and resolve pipeline failures cluster issues and performance bottlenecks.
- Collaborate with stakeholders to gather requirements perform data mapping/profiling and document systems effectively.
- Utilize Azure DevOps Git version control and CI/CD pipelines for deployment and release management.
- Implement monitoring using Azure Monitor Log Analytics and Databricks logs to ensure system reliability.
Essential Skills:
- Strong hands-on experience with Azure Data Factory Databricks and Azure SQL.
- Expertise in PySpark Spark SQL Delta Lake and Python/Pandas.
- Solid understanding of ETL/ELT concepts data ingestion and data warehousing.
- Experience with Azure DevOps Git and CI/CD pipelines.
- Ability to troubleshoot production issues and optimize pipeline performance.
Desirable Skills:
- 68 years of professional experience ideally in the insurance domain.
- Strong Business Systems Analysis (BSA) skills: requirement gathering PIA completion stakeholder follow-ups data mapping/profiling and documentation.
- Familiarity with EDW/BDW Python processes developed in F22/F23.
- Self-starter with excellent analytical documentation and problem-solving skills.
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