Data Engineer

Role Overview

We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production-ready systems that support analytics, and enterprise-wide decision intelligence, with a potential to build and support AI/ML in the future.

What You Will Do

Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred), build, optimize, and manage Databricks clusters, and develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance.

Why It Might Be a Fit

This position requires a strong analytical and problem-solving skills, experience with programming languages such as Python, Java, R, or SQL, and knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
• 3+ years of experience in data engineering or cloud data architecture
• Expertise in Databricks or Snowflake Cloud Data Platforms
• Expertise with programming languages such as Python and/or SQL
• Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
• Experience with Test Drive Development (TDD)
• Automated CI/CD Pipelines
• Linux / Bash / Docker
• Database Schema Design and Optimization
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)