Java Developer with React experience supporting federal and commercial clients at 3500 Square, LLC. Designing scalable solutions and building interactive user interfaces while collaborating with cross - functional teams.
About the role
- Senior Data Engineer developing and optimizing data pipelines on Databricks for healthtech company. Collaborating with stakeholders and ensuring data integrity through efficient processing.
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 storage and retrieval processes 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.
Benefits
- Offers Equity
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