Azure Data Pipeline Developer
4 days ago
Job Title: Azure Data Pipeline Developer
Salary: $160,000 - $220,000 per year
About the RoleWe are seeking a highly skilled Azure Data Pipeline Developer to join our team at JobRialto. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing large-scale data pipelines using Azure Data Factory.
You will work closely with cross-functional teams to ensure seamless integration of data pipelines and support various healthcare data initiatives. If you have a strong background in data engineering and data warehousing, and experience with Azure Data Factory, we encourage you to apply.
Key Responsibilities- Develop and manage data pipelines using Azure Data Factory (ADF).
- Implement and optimize ETL processes using tools like Informatica PowerCenter, SSIS, and Azure Data Factory.
- Work with relational databases such as Oracle, SQL Server, and Snowflake.
- Create and manage stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
- Manage version control with tools like GitHub and SVN.
- Process and integrate both structured and unstructured data.
- Work with healthcare data standards such as HL7 and FHIR.
- Analyze project requirements and develop detailed specifications for ETL workflows.
- Troubleshoot and optimize data pipelines for better performance.
- Adapt to evolving technologies and business requirements.
- Minimum of 5 years of experience in Data Engineering with a focus on Data Warehousing.
- At least 2 years of experience in creating pipelines using Azure Data Factory (ADF).
- 5+ years of experience developing ETL using Informatica PowerCenter, SSIS, or Azure Data Factory.
- Strong expertise with relational databases (Oracle, SQL Server, Snowflake, etc.).
- 3+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
- 2+ years of experience using GitHub, SVN, or other source control systems.
- Experience processing structured and unstructured data.
- Familiarity with HL7 and FHIR healthcare data standards.
- Strong problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines.
- Ability to adapt to new technologies and changing business needs.
- 2+ years of experience with batch or PowerShell scripting.
- 2+ years of experience with Python scripting.
- 3+ years of experience in data modeling in a data warehouse environment.
- Experience with Informatica Intelligent Cloud Services, specifically in Data Integration.
- Experience designing and building APIs in Snowflake and ADF (e.g., REST, RPC).
- Experience with State Medicaid, Medicare, or Healthcare applications.
- Azure certifications related to data engineering or data analytics.
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