Data Platform Engineer, Business Intelligence - Remote

Overview

We are seeking a Data Platform Engineer to join our team. In this role, you will design, develop, and maintain scalable data pipelines and systems, leveraging modern data engineering tools and techniques.

In Short

• Design & Build Scalable Data Pipelines using Kafka, dbt, and Airflow/Snowpark.
• Implement and optimize data models in Snowflake.
• Build efficient ELT pipelines for transforming raw data.
• Enable operational analytics with Reverse ETL workflows.
• Work with APIs and third-party tools for data integration.
• Automate workflows using Apache Airflow or Snowpark.
• Collaborate with Data Scientists, Analysts, and Product teams.
• Implement data governance policies and ensure compliance.

Requirements

• Experience with Snowflake, Apache Kafka, dbt, and Airflow.
• Strong proficiency in Python, Java, and SQL.
• Experience with cloud-based architectures (AWS, Azure, GCP).
• Experience building and managing data warehouses.
• Strong analytical and debugging skills.
• Excellent communication skills.

Benefits

• Opportunity to work with cutting-edge data technologies.
• Collaborative work environment.
• Professional growth and development opportunities.
• Competitive salary and benefits package.