Project Role Description:
Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform, and load) processes to migrate and deploy data across systems.
Must Have Skills:
Good to Have Skills:
- Microsoft SQL Server
- Google Cloud Data Services
Job Requirements:
Summary:
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Roles & Responsibilities:
- Expected to perform independently and become a subject matter expert (SME).
- Actively participate in team discussions and contribute to problem-solving.
- Develop and maintain data pipelines.
- Ensure data quality throughout the data lifecycle.
- Implement ETL processes for data migration and deployment.
- Collaborate with cross-functional teams to understand data requirements.
- Optimize data storage and retrieval processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google BigQuery.
- Strong understanding of data engineering principles.
- Experience with cloud-based data services.
- Knowledge of SQL and database management systems.
- Hands-on experience with data modeling and schema design.
Additional Information:
- The candidate should have a minimum of 3 years of experience in Google BigQuery.
- A 15 years full-time education is required.
