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Senior Big Data Engineer
Posted on 8/28/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Science
Google Cloud Platform
Microsoft Azure
Scala
Python
Requirements
  • 6+ years of experience in Design and Implementation of Big Data technologies (Apache Spark) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
  • Deep technical knowledge and comfortable coding in Python or Scala
  • Familiarity with Azure/AWS/GCP cloud deployment models (Public vs. VPC)
  • Familiarity with GCP a plus
  • Analyze large and complex data systems
  • Experience working with teams across a diverse geographic area
  • Encourage/persuade through presentation of a well-structured argument (Verbal or written)
Responsibilities
  • You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
  • You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
  • You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
  • Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
  • Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
  • Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
  • Provide experience to the consulting team, provide best practices in client engagement to other teams
Databricks

1,001-5,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Benefits
  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave