Provide Technical Leadership: Guide the development team in implementing Python-based solutions, ensuring alignment with business requirements, performance standards, and scalability best practices
Application Development: Design, build, and maintain scalable Python applications for data processing, transformation, and analytics (FastAPI services)
Database Expertise: Design efficient data models, optimize SQL queries, and manage data quality across relational and graph databases
Big Data Integration: Leverage Apache Spark, PySpark, Databricks and related technologies to develop distributed ETL/data processing pipelines
CI/CD & Best Practices: Implement and uphold best practices in Python development, testing, and automated deployment pipelines
Continuous Improvement: Recommend and adopt evolving Python and big data ecosystem technologies to enhance the data platform
Mentorship & Collaboration: Mentor junior developers, facilitate knowledge sharing, and collaborate across global teams
Product Development: Build core services for the C3 Data Platform, expose data from Databricks and graph databases, and contribute to a healthcare knowledge graph and AI assistant back-end
Requirements
5+ years of hands-on Python software development experience
Advanced proficiency in SQL, database design, and relational database systems
Experience developing and deploying solutions on cloud platforms, particularly AWS (S3, ECS, EMR, Glue, RDS)
Expertise in Apache Spark and PySpark for building scalable data solutions
Familiarity with orchestration tools like Apache Airflow
Knowledge of graph databases like Neo4j or AWS Neptune
Solid grasp of CI/CD principles and experience implementing automated pipelines
Practical experience with Databricks and Snowflake (preferred)
Exposure to Cassandra, Hadoop, Apache Hive (preferred)
Experience mentoring junior developers and facilitating knowledge sharing
Benefits
Hybrid working — presence in office 2-3 days per week
Flexibility to accommodate collaboration across global teams and time zones
Mentorship, knowledge sharing, and continuous learning culture
Opportunity to work with cutting-edge technologies (Spark, Databricks, AI/LLMs)
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