Data Engineer will be responsible for ETL and documentation in building datawarehouse and analytics capabilities. Additionally, maintain existing systems/processes anddevelop new features, along with reviewing, presenting and implementing performanceimprovements.Duties and ResponsibilitiesBuild ETL (extract, transform, and loading) jobs using Fivetran and dbt for our internalprojects and for customers that use various platforms like Azure, Salesforce, and AWStechnologies• Monitoring active ETL jobs in production.• Build out data lineage artifacts to ensure all current and future systems are properlydocumented• Assist with the build out design/mapping documentation to ensure development is clearand testable for QA and UAT purposes• Assess current and future data transformation needs to recommend, develop, and trainnew data integration tool technologies• Discover efficiencies with shared data processes and batch schedules to help ensureno redundancy and smooth operations• Assist the Data Quality Analyst to implement checks and balances across all jobs toensure data quality throughout the entire environment for current and future batch jobs.• Hands-on experience in developing and implementing large-scale data warehouses,Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.Required Skills• This job has no supervisory responsibilities.• Bachelor's Degree in Computer Science, Math, Software Engineering, ComputerEngineering, or related field AND 6+ years’ experience in business analytics, datascience, software development, data modeling or data engineering work• 5+ years’ experience with a strong proficiency with SQL query/development skills• Develop ETL routines that manipulate and transfer large volumes of data and performquality checks• Hands-on experience with ETL tools (e.g Informatica, Talend, dbt, Azure Data Factory)• Experience working in the healthcare industry with PHI/PII• Creative, lateral, and critical thinker• Excellent communicator• Well-developed interpersonal skills• Good at prioritizing tasks and time management• Ability to describe, create and implement new solutions• Experience with related or complementary open source software platforms andlanguages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)• Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos,Power BI, Tableau)
Job Title
Senior Data Engineer