Key Responsibilities
Design, develop, and maintain ETL pipelines to extract, transform, and load data from multiple sources into PostgreSQL and MongoDB.
Optimize data ingestion, storage, and retrieval for performance and scalability.
Develop GraphQL, RESTful APIs using FastAPI to serve data and integrate with internal/external systems.
Collaborate with cross-functional teams (data engineering, DevOps, product) to define requirements and deliver solutions.
Ensure data integrity, consistency, and security across the pipeline.
Write clean, maintainable, and well-documented code.
Monitor, debug, and optimize ETL workflows and APIs in production.
Stay updated with the latest trends in Python, ETL frameworks, and database technologies.
Required Skills & Experience
8+ years of professional experience in Python development.
Strong experience in building ETL pipelines and data integration workflows.
Proficiency in PostgreSQL (schema design, queries, performance tuning).
Hands-on experience with MongoDB (document design, aggregation pipelines, indexing).
Experience developing GraphQL, REST APIs using FastAPI (or Flask/Django REST Framework with willingness to switch to FastAPI).
Solid understanding of data modeling and database best practices.
Experience with asynchronous programming in Python.
Familiarity with Docker and deployment on cloud environments (OpenShift/AWS/Azure/GCP) is a plus.
Strong problem-solving and debugging skills.
Good communication skills and ability to work in a collaborative team environment.
Nice-to-Have
Experience with message queues (Kafka, RabbitMQ, or Redis Streams).
Knowledge of CI/CD pipelines and DevOps practices.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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