Job description
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 Cloud Platform Architecture
Good to have skills : Google Cloud Machine Learning Services
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the highest standards of data quality. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. This position requires a proactive approach to managing data infrastructure and collaborating with different teams to support organizational data needs effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure reliability and performance.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members in understanding data engineering concepts and best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
- Good To Have Skills: Experience with Google Cloud Machine Learning Services.
- Strong knowledge of cloud-based data storage and processing technologies.
- Experience in designing and implementing ETL workflows and data integration solutions.
- Familiarity with data pipeline orchestration and automation tools.
- Ability to troubleshoot and resolve data-related issues efficiently.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
This job post has been translated by AI and may contain minor differences or errors.
