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 cross-functional teams to identify and resolve data-related issues.
- Develop and maintain data models, data dictionaries, and data flow diagrams.

Professional & Technical Skills: 
- Required Skill: Expert proficiency in Google BigQuery.
- Additional Must To Have Skills: None
- Additional Good To Have Skills: SQLUnit
- Experience in designing and developing data solutions using ETL tools.
- Strong understanding of data modeling, data warehousing, and data integration concepts.
- Experience with data visualization tools such as Tableau or Power BI.
- Experience with SQL and NoSQL databases.
- Experience with cloud-based data platforms such as Google Cloud Platform or AWS.
 
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 data-driven solutions

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