
Senior Big Data Engineer
Posted May 6

Posted May 6
This is a fully remote position, open to applicants in India.
• You will be involved in a range of impactful customer technical Big Data initiatives, which may encompass developing reference architectures, how-to guides, and production-ready MVPs.
• Support strategic clients as they execute transformative big data projects and 3rd party migrations, including the complete design, construction, and deployment of industry-leading big data and AI applications.
• Provide consultation on architecture and design; initiate or execute key customer projects that enable a successful comprehension, assessment, and adoption of Databricks.
• Collaborate with Engineering and Databricks Customer Support to offer product and implementation insights and to facilitate swift resolution of engagement-specific product and support challenges.
• 8+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting capacity.
• 6+ years of experience independently working on Big Data Architectures.
• Significant experience within the Databricks ecosystem.
• Proficient in coding with either Python or Scala.
• Experience with various Cloud Platforms (GCP / AWS / Azure).
• Strong documentation and whiteboarding capabilities.
• Development skills in technical areas that enhance the deployment and integration of Databricks-based solutions to finalize customer projects.
• Willingness to travel for on-site customer engagements within India.
• At Databricks, we aim to offer extensive benefits and perks that cater to the diverse needs of all our employees. For detailed information about the benefits available in your region, click here.
HubSpot
Prima
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