Data Engineer

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 :

Cognite Data Fusion

Good to have skills :

Cucumber

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationRoles & Responsibilities: As an application data engineer, you will provide functional and/or technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. You will also assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Professional & Technical Skills: 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 - Lead the design and implementation of application architecture - Ensure alignment of technical solutions with business goals - Conduct regular reviews and assessments of application architecture. Proficiency in Cognite Data Fusion - Strong understanding of data integration and data modeling - Experience in designing and implementing scalable and secure applications - Knowledge of cloud technologies and microservices architecture Additional Information: The candidate should have a minimum of 5+ years of experience in Cognite Data Fusion or similar tool