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Senior Data Engineer II
Apitoria Pharma
posted 3mon ago
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Job Description
We re looking for an experienced Senior Data Engineer II to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry.The ideal candidate will have experience maintaining a high bar of quality while remaining hands-on in the code.
Core Responsibilities
- Full understanding of the technical architecture and the different subsystems
- Able to work as a lead in an Agile Scrum environment, with a keen focus on delivering sustainable, high-performance, scalable, and easily maintainable enterprise solutions
- Helps prioritize technical issues with engineering managers
- Proactively guides technical decisions in a domain of expertise
- Recommend and validate different ways to improve data reliability, efficiency, and quality
- Identify optimal approaches for resolving data quality or consistency issues
- Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues, as necessary
- Lead the acquisition of data from a variety of sources, intelligent change monitoring, data mapping, transformations, and analysis
- Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices
- Integrate various sub-systems or components to deliver end-to-end solutions
- Integrate data pipeline with NLP/ML services
- 5+ years of senior or lead developer experience with an emphasis on technical mentorship, code/system architecture, and quality output
- Extensive experience designing and building data pipelines, data APIs, and ETL/ELT processes
- Deep, hands-on experience in Python
- Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases/warehouses (Snowflake, MySQL/MariaDB, PostgreSQL, MongoDB)
- Computer Science, Computer Engineering, or similar technical degree
Bonus Points
- Experience with Snowflake, DBT, and Airflow is a major plus
- Experience with the data engineering stack within AWS is a major plus (S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose, DynamoDB, Neptune DB)
- Experience with both batch and event-driven data architectures
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
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