Sr Data Analyst ( Azure Data Factory)

12. What skills/attributes are required (please be detailed as to number of years of experience for each skill)?

8+ years of Data engineering experience with a focus on Data Warehousing 5+ years of experience creating working with Azure Data Factory (ADF) and Databricks 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools. 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc. 5+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL 3+ years of experience with Python scripting. 3+ years of experience with Azure DevOps, 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

13. What skills/attributes are preferred (what will set a candidate apart)?

3+ years of batch or PowerShell scripting 3+ years of data modeling experience in a data warehouse environment Experience or familiarity with Spark and Azure Data Fabric. 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.

14. Does this position require a professional license or certification?

No

14a. Please list all necessary professional license or certifications

15. Can you please provide a summary of the project/initiative which describes what's being done?

Optum is currently seeking a hands-on Senior Data Engineer to support our CT EDW within the Enterprise Datawarehouse and Analytics group. The Data Engineer will work with large healthcare datasets and will translate client's business requirements into enterprise systems, applications, or process designs for large complex health data solutions. The role will drive and support initiatives for the CT EDW as well as participate in the wider EDW groups areas of data usage and governance, information management, privacy and security, SOA, data analytics and visualization and information modeling.

16. What does the ideal candidate background look like (ex: healthcare specific background, etc.)? We want to be as specific as possible with our firms so they can find the type of candidate you're looking for.

Data Engineer with Healthcare (Medicaid) and Microsoft Azure based experience with Snowflake and Azure Data Factory

17. Of the required skills listed, which would you consider the top 3? Please list your expectations regarding years of experience for each requirement.

8+ years of Data engineering experience with a focus on Data Warehousing 5+ years of experience creating working with Azure Data Factory (ADF) and Databricks 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools. 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc. 5+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL 3+ years of experience with Python scripting. 3+ years of experience with Azure DevOps, 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

18. What experience will set candidates apart from one another?

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. 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

19. (If a Contract to Hire) Are you open to candidates that cannot convert to FTE without sponsorship?

Yes

20. What does the team structure look like how many members and what is the break-down of the team's skill sets (ex: 1 PM, 4 Developers, etc.)?

1 Data Manager 1 Data Modeller 1 Data Enigneering Lead 4 Data Engineers Business Analyst QA Testers DBA

21. What does the interview process look like?

a. How many rounds?

3

b. Video vs. phone?

Video

c. How technical will the interviews be?

Technical

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No