Description:

Seeking a Senior Data Engineer to enhance and scale the data ecosystem, including data lake, warehouse, and MLOps capabilities.
Collaborate with data scientists and analytics engineers to deliver high-quality data and machine-learning solutions.

Requirements:

Bachelor or Master’s degree in Computer Science, Information Systems, or related field.
5+ years of experience as a Data Engineer in a data and analytics environment.
Proficiency in data modeling, ETL/ELT workflows using PySpark, and advanced SQL skills.
Expertise with Databricks and cloud data warehousing solutions (S3, Redshift, BigQuery).
Experience with CI/CD for data and ML workflows, and operationalizing ML models in production.
Strong communication skills and ability to guide junior engineers.

Skills

Benefits