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 Cloud SQL.
Roles & Responsibilities:
- Design, develop, and maintain data solutions for data generation, collection, and processing using Google Cloud SQL.
- Create data pipelines and ensure data quality by 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.
Professional & Technical Skills:
- Must To Have Skills: Experience in designing and developing data solutions using Google Cloud SQL.
- Good To Have Skills: Experience with other cloud-based data solutions such as AWS Redshift or Azure SQL.
- Strong understanding of ETL processes and data modeling techniques.
- Experience with data integration and migration tools such as Apache NiFi or Talend.
- Experience with SQL and NoSQL databases.
- Solid grasp of data warehousing concepts and best practices.
Additional Information:
- The candidate should have a minimum of 5 years of experience in designing and developing data solutions using Google Cloud SQL.
- 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.
- This position is based at our Chennai office.
Requirements
Roles & Responsibilities:
- Design, develop, and maintain data solutions for data generation, collection, and processing using Google Cloud SQL.
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
B Tech