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Data Engineering Architect
2 months ago
Quantiphi is an award-winning AI-first digital engineering company that solves complex business problems with cutting-edge technologies.
We're committed to providing a culture built on transparency, diversity, integrity, learning, and growth, where our teams can learn, grow, and flourish in their professional and personal lives.
Our CultureWe're a vibrant, diverse, and talented set of professionals who are passionate about innovation and excellence. Our culture is built on the principles of transparency, diversity, integrity, learning, and growth.
Job OverviewWe're seeking an exceptional individual to join our team as a Data Engineering Architect. As a key member of our team, you'll have the opportunity to work on challenging projects, collaborate with talented professionals, and contribute to our company's growth and success.
As a Data Engineering Architect, you'll be responsible for designing and implementing data engineering solutions that meet our business needs. You'll work closely with our data science team to develop and deploy data pipelines, data warehouses, and other data-related systems.
We're looking for someone who is passionate about data engineering, has a strong technical background, and is able to communicate complex technical concepts to both technical and non-technical stakeholders.
Responsibilities- Design and implement data engineering solutions that meet our business needs.
- Collaborate with our data science team to develop and deploy data pipelines, data warehouses, and other data-related systems.
- Develop and maintain data engineering infrastructure, including data pipelines, data warehouses, and other data-related systems.
- Work closely with our data science team to develop and deploy machine learning models and other data-related applications.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
We're looking for someone who has:
- A strong technical background in data engineering, including experience with data pipelines, data warehouses, and other data-related systems.
- Excellent communication and collaboration skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Experience working with cloud-based technologies, including AWS, Azure, or Google Cloud.
- Experience with data engineering tools and technologies, including Apache Beam, Apache Spark, and Apache Kafka.
- A passion for innovation and excellence, with a desire to learn and grow in a fast-paced and dynamic environment.
