Description

You will build and maintain scalable data pipelines using AWS and Snowflake to support analytics and data science teams.

This role is on-site.

Responsibilities

• Develop and optimize ETL/ELT pipelines using Python, PySpark, and Apache Airflow.
• Design and implement efficient data models, including star/snowflake schemas, in Snowflake and Redshift.
• Manage data infrastructure on AWS, utilizing EC2, EMR, and S3 for storage and compute.
• Implement data governance practices, including encryption, masking, and role-based access control.
• Collaborate with data scientists and analysts to translate business requirements into actionable data solutions.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in SQL, Python, and PySpark.
• Hands-on experience with Snowflake and/or Amazon Redshift.
• Experience building pipelines with Apache Airflow and dbt.
• Working knowledge of Azure Data Factory.
• Familiarity with Databricks for data processing.
• Experience with Git for version control.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree