Posted:1 week ago|
Platform:
Hybrid
Full Time
Project Role : Data Engineer 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 : Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : 15 years fulltime education 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 understand data requirements and design solutions that meet business needs. - Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. - Optimize data storage and retrieval processes to ensure efficient and effective use of resources. Professional & Technical Skills: - Must To Have Skills: Experience with Google BigQuery. - Good To Have Skills: Experience with ETL tools such as Apache NiFi or Talend. - Strong understanding of data modeling and database design principles. - Experience with SQL and NoSQL databases. - Experience with data warehousing and data integration technologies. - Familiarity with cloud computing platforms such as AWS or Google Cloud Platform.
Mount Talent Consulting
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