Description

Build and maintain production data pipelines, ETL processes, and data warehouses in cloud and on-prem environments to support business, analytics, and ML teams.

This role is remote.

Responsibilities

• Develop and maintain scalable data pipelines using SQL and Python.
• Implement ETL processes and data warehouse solutions on AWS and Azure.
• Manage Big Data tools including Spark, Hadoop, and Kafka.
• Containerize applications using Docker.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Hands-on experience with Spark, Hadoop, and Kafka.
• Experience with AWS and Azure cloud services.
• Knowledge of Docker containerization.
• Masters Degree in Computer Science, Data Science, Computer Information Systems, Information Technology, Electrical Engineering, Electronics Engineering, or closely related field.

Key Skills

Education

Any Graduate