HYDERABAD · FULLTIME
Senior Data Engineer - Databricks
DataNimbus
Hyderabad · onsite · Posted 82d ago
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Not disclosed8–12 yrsfulltimeHyderabad
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Section · 01
About this role
Responsibilities:
- Handle a variety of impactful customer-technical projects that may include designing and building reference architectures, creating how-tos, and operationalizing customer use cases.
- Work with engagement managers to scope a variety of professional services and work with input from the customer.
- Guide strategic customers as they implement transformational big data projects and 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 customer's 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 needs.
- Mentor and guide junior data engineers and team members.
Requirements:
- 8+ years of experience in data engineering, data platforms, and analytics.
- Hands-on experience in Databricks is a must.
- Should have Databricks Certification at the professional level.
- 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 whiteboarding skills.
- Experience working with clients and managing conflicts.
- Deployment and integration of Databricks-based solutions to complete customer projects.
Must-have Databricks certification Professional; non-negotiable:
- Strong communication and collaboration skills.
- Excellent problem-solving skills.
- Ability to travel up to 30% when needed.
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Section · 02
Skills
DatabricksApache SparkScalaPython