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À propos
Design and administer data systems. Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow. Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing. Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models. Assemble large, complex data sets that meet functional business requirements. Stay current with AWS services and recommend suitable tools for specific data engineering tasks. Develop and support the internal applications using Python, SQL, and Stored Procedures. Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms. Automate manual processes and to optimize data delivery and reduce operational friction. Monitor and tune data pipelines and data storage for performance, cost, and reliability. Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times. Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment. Requirements:
Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience. Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow). Strong Python and SQL experience, including advanced query design and database optimization. Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required. Ability to develop subject-matter expertise and partner thoughtfully with business teams. Trusted partner: reliable to deliver accurate work in a timely manner. A passion for working with a team to improve how data drives meaningful outcomes. Benefits:
Great Health Insurance: The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents. 401K Match: Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. Time Off: We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Parental Leave: Generous paid leave for new parents (includes birth and non-birth parents).
Compétences linguistiques
- English
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