Description:

Design, build, and operate data pipelines and APIs for data-driven and AI-enabled products.
Collaborate with product, analytics, data science, and machine learning teams to create scalable solutions.

Requirements:

8–10 years of experience in data engineering or related field.
Strong Python and advanced SQL skills with experience in production data pipelines.
Hands-on experience with workflow orchestration and big data processing frameworks.
Experience in developing and deploying REST APIs, including security and automated testing.
Familiarity with cloud platforms and data services.
Understanding of data warehousing, lakehouse architecture, and data modeling.
Knowledge of AI and machine learning workflows, LLM APIs, and vector databases.
Experience with Git, CI/CD, Docker, and infrastructure as code tools like Terraform.
Strong problem-solving and communication skills.

Skills

Benefits