We are seeking a highly skilled Data Engineer for one of our staffing clients who is hiring for an Ecommerce client - to design, develop, and optimize scalable data pipelines and infrastructure for ML-driven applications. The ideal candidate will have experience in big data technologies, ETL processes, and model deployment to support advanced analytics and AI initiatives.
Experience of 2-3 years. Not looking for senior developers due to low pay
Salary offered $65-75k per year
Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
Responsibilities
- Design and build scalable data pipelines to support machine learning workflows.
- Develop, optimize, and maintain ETL processes for structured and unstructured data.
- Work with big data frameworks (Apache Spark, Hadoop, Databricks) to process large datasets.
- Optimize data storage, retrieval, and performance for machine learning applications.
- Ensure data integrity, security, and compliance with industry standards.
- Automate data processing workflows using Python, SQL, or Scala.
- Strong experience in data engineering
- Hands-on experience with big data technologies (Apache Spark, Hadoop, Snowflake).
- Knowledge of cloud platforms (AWS, Azure, GCP) for ML model deployment.
