Role Overview
We are seeking a skilled and motivated Data Engineer to join our team. In this role, you will collaborate closely with data scientists and analysts to build and maintain robust, scalable data pipelines. You will play a key role in ensuring data quality, integrity, and accessibility across the organization.
Responsibilities
- Collaborate with data scientists to design, implement, and maintain scalable data pipelines.
- Ingest and integrate data from diverse sources, ensuring accuracy and consistency.
- Clean, transform, and prepare data for analytical and reporting purposes.
- Ensure data integrity, security, and compliance throughout the data lifecycle.
- Automate workflows and production pipelines to improve operational efficiency.
Requirements
- 2–4 years of experience in data engineering or a related field.
- Proficiency in SQL and Python.
- Experience with PySpark, AWS, and Snowflake is a strong plus.
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple priorities with minimal supervision.
- Excellent data validation and quality assurance skills.
Nice to Have
- Strong communication and collaboration skills.
- Passion for data and continuous learning.
Skills
- Python
- SQL
- PySpark
- AWS
- Snowflake