Mid Back - end Python Developer at Orbio World creating AI - driven tools and services. Collaborating with AI engineers to improve business efficiency through backend support and DevOps practices.
About the role
- Lead Python developer for Clarivate building FastAPI services, PySpark ETL, Databricks and knowledge graph integrations. Drive technical leadership, CI/CD, and mentor engineering team.
Responsibilities
- Provide Technical Leadership: Guide the development team in implementing Python-based solutions, ensuring alignment with business requirements, performance standards, and scalability best practices.
- Design, build, and maintain scalable Python applications for data processing, transformation, and analytics.
- Utilize SQL and relational database concepts to design efficient data models, optimize queries, and manage data quality.
- Implement and uphold best practices in Python software development, testing, and CI/CD pipelines.
- Leverage Apache Spark, PySpark, and related big data technologies to develop distributed data processing pipelines.
- Design and optimize Spark/Databricks ETL pipelines written in PySpark for high performance and scalability.
- Build core Python FastAPI services to expose data from Databricks and graph databases to downstream applications.
- Contribute to building a knowledge graph interconnecting healthcare and life science data domains.
- Work on backend of AI assistant leveraging LLMs and machine learning to expose platform data and extract insights.
- Mentor junior developers, facilitate knowledge sharing, and foster a culture of continuous learning.
- Collaborate within a cross-functional C3 Data Platform Team in a startup-like environment inside Clarivate.
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 (desirable).
- Exposure to Cassandra, Hadoop, Apache Hive (desirable).
- Experience mentoring or providing technical leadership.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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