Drupal Developer building, testing, and supporting applications for Alithya’s digital consulting network. Analyzing incidents, documenting solutions, and supporting user training.
About the role
- Senior Data Engineer building Databricks, Spark, Python, and MongoDB data systems. Supporting Flagler Health’s clinical operating system for modern musculoskeletal care.
Responsibilities
- Develop, manage, and optimize data pipelines on the Databricks platform
- Debug and troubleshoot Spark applications to ensure reliability and performance
- Implement best practices for Spark compute and optimize workloads
- Write clean, efficient, and reusable Python code using object-oriented programming principles
- Design and build APIs to support data integration and application needs
- Develop scripts and tools to automate data processing and workflows
- Integrate, query, and manage data within MongoDB
- Ensure efficient MongoDB storage and retrieval tailored to application requirements
- Optimize MongoDB performance for large-scale data handling
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions
- Proactively identify and address technical challenges related to data processing and system design
Requirements
- Proven experience working with Databricks and Spark compute
- Proficient in Python, including object-oriented programming and API development
- Familiarity with NoSQL (MongoDB preferred), including querying, data modeling, and optimization
- Strong problem-solving skills and ability to debug and optimize data processing tasks
- Experience with large-scale data processing and distributed systems
- Strong understanding of data architecture, ETL processes, and data warehousing concepts
- Knowledge of other big data technologies like Delta Lake, Hadoop, or Kafka
- Experience with cloud platforms (e.g., AWS, Azure, or GCP)
- Familiarity with CI/CD pipelines and version control systems like Git
Job title
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Degree requirement
No Education Requirement
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