Job Description
As a Data Engineer, you will design, develop, and optimize data pipelines to support analytical and operational use cases. Your role will involve ensuring data integrity, availability, and consistency across systems while working closely with data scientists and business analysts.
Key Responsibilities:
- Design and implement ETL processes for large datasets.
- Build and maintain data pipelines using cloud services and big data tools.
- Optimize and enhance data storage and retrieval solutions.
- Collaborate with cross-functional teams to meet business data requirements.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 2-5 years of experience in data engineering or related roles.
- Proficiency in SQL, Python, and data pipeline tools like Apache Spark.
- Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
