Job purpose The Data Engineer will be part of the Business Intelligence team, building and working on enterprise grade Business Intelligence tools on top of a modern cloud Analytics stack
Qualification and Education Requirement Curious individual who can take time understanding details with the bigger picture in mind 2 – 7 years of work experience Strong analytical and problem-solving skills Strong background in Excel & ability to use BI tools is a plusBachelor's degree in Computer Science, Data Science, or a related fieldCore Competency Requirements Experience in building, designing and maintaining a data lake/warehouse solutionsExperience with SQL, PLSQL, Stored Procedures, and ScriptingExperience in ETL/ELT tools is a plus (i.e. Azure Data Factory, Oracle Data Integrator, Talend)Experience with Cloud & Big Data Technologies is a plus (i.e. Azure, AWS, GCP)Experience or interest in working with big data technologies (e.g., Spark, Hadoop)Experience or interest in AI or LLM solutionsKnowledge of data visualization tools (e.g., Power BI, Tableau, or Looker)Quick learner with a problem-solving aptitude, proactive and strong attention to detailAbility to understand business questions and suggest proper solutionsHealthcare or related industry experience is a plusAbility to manage own time and work with team and stakeholdersRoles and responsibilities Assessing, formulating, and implement data management framework/solutionBuild, manage and schedule data pipelines to integrate with and ingest data from various data sourcesIntegrate data from 3rd party APIs and work with streaming data technologiesContribute to the design of database schemas to optimize data processing and storageContinuous improvement and enhancement of data warehouse to support business reporting and analytics requirementsDevelop and manage reports and data cubes that are consumed by business partnersCollaborate with business users to analyze and understand requirementsIdentify opportunities to improve BI processes Create and maintain reports with documentation Troubleshoot and fix data issues and data pipelinesPerform thorough testing and validation in order to support the accuracy of data transformations in accordance with business requirementsManage operations of scheduled data ingestion and processingResearch innovative technologies and make continuous improvementsLearn and apply best practices in data engineeringBuild relationships and have ongoing discussions with internal business partnersInvolved in various IT initiativesParticipate in other business process reviews