Senior Data Engineer Position SummaryThe Senior Data Engineer leads complex data engineering projects working on designing data architectures that align with business requirements This role focuses on optimizing data workflows managing data pipelines and ensuring the smooth operation of data systemsMinimum Qualifications8 Years overall IT experience with minimum 5 years of work experience in below tech skillsTech SkillStrong experience in Python Scripting and PySpark for data processing Proficiency in SQL dealing with big data over Informatica ETL Proven experience in Data quality and data optimization of data lake in Iceberg format with strong understanding of architecture Experience in AWS Glue jobsExperience in AWS cloud platform and its data services S3 Redshift Lambda EMR Airflow Postgres SNS Event bridgeExpertise in BASH Shell scripting Strong understanding of healthcare data systems and experience leading data engineering teamsExperience in Agile environmentsExcellent problem solving skills and attention to detailEffective communication and collaboration skillsResponsibilitiesLeads development of data pipelines and architectures that handle large scale data setsDesigns constructs and tests data architecture aligned with business requirementsProvides technical leadership for data projects ensuring best practices and high quality data solutionsCollaborates with product finance and other business units to ensure data pipelines meet business requirementsWork with DBT Data Build Tool for transforming raw data into actionable insightsOversees development of data solutions that enable predictive and prescriptive analyticsEnsures the technical quality of solutions managing data as it moves across environmentsAligns data architecture to Healthfirst solution architecture
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