Data Engineer

Role Description:
Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.

Job Responsibilities:

Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion, transformation, and storage.
Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality data solutions.
Architect and optimize data models and schemas to support analytical and operational use cases.
Implement data governance and security best practices to ensure data privacy and compliance with regulatory requirements.
Monitor and troubleshoot data pipelines to ensure reliability, performance, and scalability.
Stay abreast of emerging technologies and best practices in data engineering and contribute to continuous improvement initiatives.
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or related field.
Minimum of 5 years of experience in data engineering or related roles.
Proficiency in programming languages such as Python, Java, or Scala.
Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and experience with cloud-based data services (e.g., S3, BigQuery, Redshift).
Experience with Snowflake data platform is a plus.
Experience with PowerBI is a plus.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.