Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
LP
Sr. Databricks Spark Developer (Banking)
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Sr. Databricks Spark Developer role designing and optimizing data pipelines for banking. Requires Databricks/Spark experience in financial services with strong communication skills.
Responsibilities
- Design, develop, and optimize data pipelines utilizing Databricks and Apache Spark. Manage and process large-scale datasets in a distributed computing environment. Collaborate with cross-functional teams including business and technical stakeholders. Participate in solution design discussions and provide insightful technical recommendations. Ensure data quality, performance optimization, and solution scalability. Troubleshoot and resolve data pipeline issues efficiently. Contribute to documentation and best practices for data engineering processes.
Requirements
- Proven hands-on experience with Databricks and Apache Spark development. Familiarity with enterprise environments, preferably in banking or financial services. Strong understanding of distributed computing and data architecture. Excellent verbal and written communication skills. Ability to work independently in a dynamic, fast-paced environment. Experience working on large-scale data projects with multiple stakeholders.
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