Engineer Data
Role details
Job location
Tech stack
Job description
The Data Engineer is responsible for designing, building, and optimizing data pipelines that support analytical and operational use cases. This role involves working with large-scale data infrastructure, ensuring efficient data flow across various systems and applications., The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Develop, maintain, optimize, and document ETL/ELT pipelines.
- Ensure data integrity and security across storage and processing layers.
- Work with data warehousing technologies to support business intelligence.
- Automate data processing tasks to improve efficiency and scalability.
- Collaborate with data scientists and software engineers to integrate data solutions.
Requirements
Do you have experience in Software development?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Data Engineering, or related discipline.
- 2+ years of experience in data engineering or software development.
- Proficiency in SQL and Python
- Knowledge of data modeling, data governance, and distributed computing.
- Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) is big plus.
- Experience with DBT is big plus
Physical requirements
- Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day.
- Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously.