About the Company
Priorise (https://priorise.co/) provides end-to-end Decision Science and Project Management solutions by combining business thinking with AI- and ML-powered technologies.
We work closely with our clients to understand their business context and deliver practical, implementation-focused solutions. We value ownership, curiosity, and resilience, and we’re deeply committed to solving real client problems.
Databricks Data Engineer
- Location: Hyderabad
- Experience: 6+ years
- Work-type: Mandatory Work from office, further flexibility can be created.
- Must Have - Databricks Certification
What do we want you to do:
- Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases.
- Work with engagement managers to scope variety of professional services work with input from the customer.
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- Collaborate with the Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer’s needs.
- Mentor and provide guidance to junior data engineers and team members.
What would help make your case
- 6+ years experience in data engineering, data platforms & analytics on Databricks platform.
- Experience with large scale data migrations to/from Databricks.
- Consulting / customer-facing experience, working with external clients across a variety of industry markets.
- Comfortable writing code in either Python or Scala.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery – managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Deployment and integration of Databricks-based solutions to complete customer projects.
Must have Databricks Certifications
- Strong communication and collaboration skills.
- Excellent problem-solving skills.
- Ability to travel up to 30% when needed.
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