Full-time, Remote
Senior Data Platform Engineer
The customer is an oncology-focused health informatics solutions company with a mission to help patients get access to the best treatments by leveraging clinical and molecular data to accelerate the discovery, development, and delivery of tailored and more personalized therapies. The customer is transforming its existing business through strategic technical initiatives that will enable it to fully leverage cloud services and ensure system scalability and stability, while freeing up key teams to focus on new development that will deliver new revenue. The goal will be the integration with third-party systems and building APIs.
Requirements
- Intermediate+ English
- Strong communication and prioritization skills
- Minimum of 6+ years experience in software engineering, design, and development
- Experience with Python and solid understanding of object-oriented and functional methodologies
- Experience building REST services
- Experience building data pipelines with distributed large scale data processing engines, such as Apache Spark or Hadoop (Spark preferred)
- Experience delivering cloud-based software solutions. Azure is a plus (Lambdas/Functions, APIs, SQL, and Cosmos DB, events management system)
- Experience with various databases and types in the industry, including SQL (PostgreSQL, MariaDB, Azure SQL, etc.) and NoSQL databases (DynamoDB, Cosmos DB, Cassandra, etc.)
- Data warehouse design, BI reporting and dashboard development
- Experience with modern software development concepts, including operations-first delivery via DevOps/GitOps, automated testing/CI/CD pipelines, and IAC
Responsibilities
- Deal with scale, security, reliability aspects of data platform
- Analyze potential data sources
- Design and implement data pipelines
- Collaborate closely with machine learning, product development teams to meet their needs with data platform
- Participate in bi-weekly data/machine learning papers review meetings
- Provide a professional skills development plan
Skills
Python, Apache Spark, Hadoop, SQL
Python, Apache Spark, Hadoop, SQL
Location
Argentina, Brazil, Colombia, Mexico
Argentina, Brazil, Colombia, Mexico
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