Data Engineer

Data Engineer

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 Looker Data Platform

Minimum 5 year(s) of experience is required

Educational Qualification: 15 years full time education

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages.

Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge in data engineering.
• Continuously evaluate and improve data processes to enhance efficiency and effectiveness.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
• Good To Have Skills: Experience with Google Looker Data Platform.
• Strong understanding of data modeling and database design principles.
• Experience with data warehousing solutions and ETL tools.
• Familiarity with programming languages such as Python or Java for data manipulation.

The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture. This position is based at our Hyderabad office. A 15 years full time education is required.