Data Engineer

3-5 years of industry experience in data engineering Strong proficiency in SQL Experience with data warehousing concepts (dimensional modeling, star/snowflake schemas) Experience building and maintaining ETL/ELT pipelines Familiarity with cloud data platforms, preferably GCP and BigQuery Understanding of data modeling best practices and data quality principles Solid understanding of software development practices including version control (Git) and CI/CD Experience with Python for data processing and automation (nice to have) Experience with Apache Spark or similar distributed processing frameworks (nice to have) Familiarity with workflow orchestration tools (Airflow, Prefect) (nice to have) Exposure to dbt or similar transformation tools (nice to have)

Design and implement data models and warehouse schemas Build and maintain reliable data pipelines Collaborate with product and engineering teams Ensure data quality, integrity, and accessibility Optimize query performance and data infrastructure efficiency Maintain documentation for data models, pipelines, and processes