About the Role We're seeking an experienced Data Engineer to help build and maintain our data infrastructure. You'll work at the intersection of data science and software engineering, creating scalable systems that transform raw data into valuable business insights. Key Responsibilities

Design, build, and optimize data pipelines to extract, transform, and load data from multiple sources

Develop and maintain data warehouse solutions and ETL processes

Ensure data quality, reliability, and accessibility across the organization

Implement data security measures and compliance with relevant regulations

Monitor and troubleshoot data systems to ensure optimal performance

Collaborate to implement machine learning models into production systems

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

3+ years of experience in data engineering or related roles

Strong SQL skills and experience with database design

Proficiency in Python, Java, or similar programming languages

Experience with big data technologies (Hadoop, Spark, Kafka, etc.)

Knowledge of cloud platforms (AWS, Azure, or GCP) and their data platforms (Azure Data Fabric, Redshift, etc...)

Familiarity with data modeling, ETL tools, and data visualization

Experience building reports and data pipelines for PowerBI

Preferred Skills

Experience with CI/CD pipelines and DevOps practices

Knowledge of DataBricks, Snowflake, Jupiter Notebooks

Understanding of data governance principles

Experience with real-time data processing systems

Familiarity with machine learning deployment workflows