Sr Data Analyst(ETL,Data Warehousing) - Remote

Sr Data Analyst

100% Telecommute

9am-5pm

Top Responsibilities:

• 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 thats 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

Required Skills:

• 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

Preferred Skills:

• 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.

Team Structure:

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

This is a high PRIORITY requisition.