Data EngineerTop 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 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.Develop ETL pipelines and data flows in and out of the data warehouse using a combination of Azure Data Factory and Snowflake toolsets.Develop idempotent ETL process design so that interrupted, incomplete, or failed processes can be rerun without errors using ADF dataflows and Pipelines.Work in Snowflake Virtual Warehouses as needed and automate data pipelines using Snowpipe for tedious ETL problems.Capture changes in data dimensions and maintain versions of them using Stream sets in Snowflake and schedule 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.Build a highly efficient orchestrator that can schedule jobs, execute workflows, perform Data quality checks, and coordinate dependencies among tasks.Test ETL system code, data design, pipelines, and data flows. Perform root cause analysis on all processes and resolve production issues. Conduct routine tests on databases and data flow and pipeline testing.Document implementations, test cases, and build deployment documents needed for CI/CD.Required Skills/Attributes: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 unstructured 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.Bachelor's or Advanced Degree in a related field such as Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business.Preferred Skills/Attributes: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.