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About us
ClifyX has immense experience of over 20 years in Digitalization, Service Management, Cloud Transformation, and now in enabling implementation and deployments for its end customer through Salesforce, ServiceNow, Selenium, Cloud and Automation. Our rich experience, combined with our unyielding care for our employees, is the driving force behind all we do. And we deliver!
At Clifyx, aligning great talent with clients needs is at the core of who we are. We are passionate about our Consultants, our Clients and our MSP partners. Our rich experience combined with our unyielding care for our employees is the driving force behind all we do. And we deliver! Our 24x7 global service delivery drives time, cost and risk out of any process or project, providing you with best-possible business outcomes and best-fit talent on-demand when, where and how you need it.
- Design and implement scalable data solutions using Databricks platform.
- Develop data pipelines, ETL processes, and data lake architectures.
- Optimize data processing and storage for big data projects.
- Collaborate with data scientists, engineers, and analysts to integrate Databricks into workflows.
- Ensure security, performance, and scalability of data architectures.
- Proficiency with Databricks, Apache Spark, and Delta Lake.
- Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform).
- Expertise in data processing, ETL, and big data technologies.
- Familiarity with Python, Scala, SQL, and MLOps.
- Bachelor s or Master s in Computer Science, Data Engineering, or related field.
- 5+ years of experience in data engineering/architecture roles.
- Certifications in Databricks or cloud platforms (AWS, Azure, Google Cloud Platform) are a plus