Data Engineer building and optimising data infrastructure at LifeByte. Collaborating with data scientists and analysts to improve data processing efficiency.
Responsibilities
Design, build, install, test and maintain scalable data management systems, ensuring that the system meets business requirements and industry standards.
Integrate emerging data management and software engineering technologies into existing data structures, ensuring compliance with data management and security policies.
Monitor performance and data accuracy of data processing systems.
Maintains Cl/CD systems and code base.
Establishes and operates to maintain high quality standards and maintains cloud architecture systems across accounts.
Mentor and guide junior data engineers.
Adopt new technologies while leveraging your accumulated expertise in modern big data tools and cloud services.
Requirements
Bachelor's degree or above in Computer Science, Engineering or a related field, English can be used as a working language.
At least 1 years of relevant experience in data engineering with project experience in designing and implementing complex data solutions.
Proficiency in Python and experience in developing robust, maintainable, and scalable data processing pipelines.
Experience with CI/CD systems, automated workflows, and integrating data quality checks into deployment processes.
Strong experience with cloud services (preferably AWS), including the use of AWS data services and knowledge of Snowflake as a data warehouse solution.
Expertise in working with all forms of data infrastructure and adept at managing streaming and batch data systems.
Solid understanding of data modelling, ETL (Extract, Transform, Load) processes and data warehousing principles with a commitment to improving data quality and accuracy.
Benefits
Celebrate your tenure with us! Receive generous milestone anniversary gifts that grow with each year of service.
Join a vibrant workplace culture with fantastic team-building activities, fostering camaraderie and collaboration among colleagues.
Prioritize your well-being! Access our Flexible Spending Account (FSA) for various health and wellness needs.
Welcome your newest family member with a special gift!
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.