Description

You will design and build ETL/ELT pipelines for structured and unstructured data, ensuring scalability and performance across systems.

Responsibilities

• Design and build ETL/ELT pipelines for structured and unstructured data.
• Develop and optimize data models for analytics and ML workflows.
• Support API integration and collaborate on lightweight services exposing data assets.
• Work with data scientists and ML engineers to productionize datasets and features.
• Ensure data quality, scalability, and performance across systems.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Strong proficiency in Python and SQL.
• Experience with distributed systems including Spark, Kafka, and Airflow.
• Hands-on experience with cloud platforms (AWS preferred) and data lake/data warehouse design.
• Familiarity with APIs or event-driven architecture.

Preferred Skills

• Exposure to ML pipelines, feature stores, or AI platforms.
• Experience in financial services or regulated environments.
• Understanding of data governance and security best practices.

Key Skills

Education

Any Gradute