Data Engineer (Azure Data Factory, ETL, PowerCenter, Data Warehouse)
Data Engineer (Azure Data Factory, ETL, PowerCenter, Data Warehouse)
TOP 3 REQUIREMENTS :
- 5+ years of Data engineering experience with a focus on Data Warehousing
- 2+ years of experience creating pipelines in Azure Data Factory (ADF)
- 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools .
Required :
- 5+ years of experience with Relational Databases , such as Oracle, Snowflake, SQL Server , etc.
- 3+ years of experience creating stored procedures with Oracle PL / SQL, SQL Server T-SQL, or Snowflake SQL
- 2+ years of experience with GitHub, SVN, or similar source control systems
- 2+ years of experience processing structured and un-structured data.
- Experience with HL7 and FHIR standards, and processing files in these formats.
- 3+ years analyzing project requirements and developing detailed specifications for ETL requirements.
- Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines.
- Ability to adapt to evolving technologies and changing business requirements.
- Bachelors or Advanced Degree in a related field such as Information Technology / Computer Science, Mathematics / Statistics, Analytics, Business
Preferred :
- 2+ years of batch or PowerShell scripting
- 2+ years of experience with Python scripting.
- 3+ years of data modeling experience in a data warehouse environment
- Experience or familiarity with Informatica Intelligent Cloud Services (specifically Data Integration)
- Experience designing and building APIs in Snowflake and ADF (e.g. REST, RPC)
- Experience with State Medicaid / Medicare / Healthcare applications
- Azure certifications related to data engineering or data analytics.
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