Data Engineer

Bachelor's degree in Computer Science, Engineering, or a related field 2+ years of experience in data engineering Strong analytical SQL skills Strong Python skills Understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD) Experience with data warehousing technologies, preferably Snowflake Experience with cloud platforms, preferably GCP (Google Cloud Platform), including services like Cloud Functions, and GCS Experience designing and implementing reliable and resilient ETL/ELT pipelines Excellent communication, collaboration, and problem-solving skills

Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP. Advance code quality, test coverage, and maintainability of data pipelines. Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation. Support the adoption of data quality tools and practices. Research, evaluate, and recommend new technologies for the data platform. Contribute to data architecture and design of the data warehouse. Collaborate with software engineering teams to define data structures and streamline ingestion. Work with stakeholders to understand and translate data needs into technical requirements. Troubleshoot and resolve complex data pipeline issues. Contribute to the development and maintenance of CI/CD pipelines for data infrastructure. Participate in on-call rotation to support critical data pipelines. Identify and address inefficiencies in data engineering processes.