Enterprise Data Lake Consultant

Published date Posted on Indeed on Sep 15, 2021 (13 d ago)

We need your expertise
For multiple enterprise customers we collaborate in global high performing teams of Hadoop data engineers, Hadoop data warehouse engineers and platform engineers, who together build and manage Hadoop stacks. The teams install, configure, and manage Hadoop ecosystem components.
You work closely with the data scientists and business intelligence engineers who are using this data to create analytical models. Next to this, coding, debugging, testing, documenting, and implementing Data as a Service (DaaS) solution for the business is key, whilst maintenance and enhancements of the existing data lake environments is equally important.

  • Maintain a reliable service of the enterprise data lake platforms
  • Coordinate within a global organization to define enhancements for the business
  • Maintain efficient and highly reliable data ingestion pipelines for the Hadoop stack
  • Work side-by-side with software engineers and data scientists in designing modeled data sets to be used in many different applications, from proof-of-concept to production
  • Understand the entire life cycle of data that flows through any systems for which you are responsible
  • Build/operate highly available, distributed systems of data extraction, ingestion, and processing of large data sets of structured, semi-structured and unstructured data
  • Build data platform products incrementally and manage (cloud based) datasets from multiple sources
  • Validate quality of data on the platform via dashboards and offer platform optimizations
  • Initiate commission, decommissioning, balancing, and managing nodes for optimization of a cluster
  • Validate planned changes and patches to the platform and support business testing


Job Type: Full-time

Work Location: Multiple Locations

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