We are hiring a Data Engineer with 2–3 years of experience in building and maintaining data pipelines, ETL processes, and data infrastructure. The ideal candidate has hands-on skills in SQL, Python, and working with large datasets in cloud or traditional data environments.
As a Data Engineer, you will work closely with analytics teams to ensure high data quality, integrity, and performance.
Responsibilities:
Design, build, and optimize data pipelines
Develop and manage ETL/ELT workflows
Support database performance tuning and data modeling
Work with cloud-based storage and compute platforms (AWS, GCP, or Azure)
Collaborate with data analysts and other engineers
Requirements:
2–3 years of experience in data engineering or backend development
Strong SQL and Python skills
Familiarity with ETL tools and data warehouse architecture
Exposure to cloud services (AWS, Azure, or GCP) is a plus
Must be a U.S. Citizen or Green Card Holder