Sr Data Analyst

Sr Data Analyst(ETL,Data Warehousing) - Remote
Minneapolis, MN - Remote

Job Description
Sr Data Analyst

100% Telecommute

9am-5pm

What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)?
Develop and manage effective working relationships with other departments, groups, and personnel with whom work must be coordinated or interfaced • Efficiently communicate with ETL architect while understanding the requirements and business process knowledge in order to transform the data in a way that's geared towards the needs of end users • Assist in the overall architecture of the ETL Design, and proactively provide inputs in designing, implementing, and automating the ETL flows • Investigate and mine data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions • Developing ETL pipelines and data flows in and out of the data warehouse using a combination of Azure Data Factory and Snowflake toolsets • Developing idempotent ETL process design so that interrupted, incomplete, or failed processes can be rerun without errors using ADF dataflows and Pipelines • Ability to work in Snowflake Virtual Warehouses as needed in Snowflake and automate data pipelines using Snowpipe for tedious ETL problems • Capturing changes in data dimensions and maintaining versions of them using Stream sets in snowflake and scheduling them using Tasks • Optimize every step of the data movement not only limited to source and during travel but also when it's at rest in the database for accelerated responses • Must have the ability to build a highly efficient orchestrator that can schedule jobs, execute workflows, perform Data quality checks, and coordinate dependencies among tasks • Responsible for testing of ETL system code, data design, and pipelines and data flows. Root cause analysis on all processes and resolving production issues are also a part of the process and routine tests on databases and data flow and pipeline testing • Responsible for documenting the implementations, and test cases as well as responsible for building deployment documents needed for CI/CD

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

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

Of the required skills listed, which would you consider the top 3? Please list your expectations regarding years of experience for each requirement.
5+ years of Data engineering experience with a focus on Data Warehousing 2+ years of experience creating pipelines in Azure Data Factory (ADF) 3+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL

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

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

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