Description

You will architect, develop, and operate scalable data platforms, processing pipelines, and services.

Responsibilities

• Design and build batch and stream data processing infrastructure to support ML operations, including training, serving, and evaluation.
• Develop foundational data models, data warehouses, and real-time or offline processing pipelines.
• Build data lakes and implement data cataloging platforms for data discovery and availability.
• Architect and implement data anonymization and access control frameworks for policy-based masking.
• Develop platform data services and APIs to provide data access to stakeholders and customer-facing products.

Required Skills

• 5+ years of experience in software engineering.
• Proficiency in Python, Golang, Java, or C++.
• Experience with cloud infrastructure such as AWS, GCP, or Azure.
• Experience with relational or non-relational databases including Postgres, AWS DataLake/S3, DynamoDB, or Snowflake.
• Degree in Computer Science or a related field.

Key Skills

Education

Any Graduate