
Enterprise Data Solutions Architect
4 days ago
In this role, you will be responsible for designing and implementing large-scale data solutions using the Databricks platform. You will work closely with cross-functional teams to deliver high-quality results in a fast-paced environment.
Required Skills and Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.
- A minimum of three years of experience in designing and implementing data solutions on the Databricks platform is necessary.
- Proficiency in programming languages such as Python, Scala, or SQL is essential.
- Strong understanding of distributed computing principles and experience with big data technologies like Apache Spark are required.
- Experience with cloud platforms like AWS, Azure, or GCP and their associated data services is necessary.
- Proven track record of delivering scalable and reliable data solutions in a fast-paced environment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Good experience with containerization technologies like Docker and Kubernetes is preferred.
- Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.
As a senior data engineer at our company, you will have the opportunity to work with cutting-edge technology, collaborate with talented professionals, and contribute to innovative projects that shape the future of data engineering.
Others
Our company values innovation, teamwork, and continuous learning. If you are passionate about data engineering and looking for a challenging and rewarding role, we encourage you to apply for this position.
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