Summary:
- As a Data Engineer you will be responsible for designing developing and maintaining data solutions for data generation collection and processing. Your typical day will involve creating data pipelines ensuring data quality and implementing ETL processes to migrate and deploy data across systems using Google BigQuery.
Roles & Responsibilities:
- Design develop and maintain data solutions for data generation collection and processing using Google BigQuery.
- Create data pipelines ensuring data quality and implementing ETL processes to migrate and deploy data across systems.
- Collaborate with crossfunctional teams to identify and resolve datarelated issues.
- Develop and maintain data models data dictionaries and data flow diagrams.
Professional & Technical Skills:
- Required Skill: Expert proficiency in Google BigQuery.
- Additional Good To Have Skills: SQLUnit Tableau PowerBI
- Experience in designing and developing data solutions using ETL tools.
- Strong understanding of data modeling data warehousing and data integration concepts.
- Experience with SQL and NoSQL databases.
- Experience with cloudbased data platforms such as Google Cloud Platform
Additional Information:
- The candidate should have at least 2 years of experience in Google BigQuery.
- The ideal candidate will possess a strong educational background in computer science information technology or a related field along with a proven track record of delivering impactful datadriven solutions
Remote Work :
No