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Databricks Architect

2 months ago


Atlanta, United States Data in Motion Full time
Job DescriptionJob DescriptionApplications are being accepted for the position of Databricks Architect

In this position, the senior Databricks developer is in charge of resolving cutting-edge problems in the real world and leading a group of one or more junior developers toward the objective.

Responsibilities:
  • Collaborate closely with the architect to find design solutions that satisfy both functional and non-functional needs.
  • Engage in order to comprehend the artifacts of solution and architecture design.
  • Promote reuse by putting shared assets into practice.
  • Apply engineering standards, best practices, and procedures proactively.
  • Give guidance and understanding of the roles and duties necessary for the functioning of the solution.
  • Throughout the whole lifespan, identify, discuss, and take steps to mitigate risks, assumptions, issues, and decisions.
  • takes into account the art of the feasible, weighs the impact and practicality of different solution possibilities, and makes recommendations for concrete plans.
  • Exhibit a good ability to solve technical and analytical problems.
  • the capacity to work and analyze at different abstraction levels.
Minimum qualifications:
  • Outstanding technical abilities to facilitate the development of complicated, future-proof global solutions
  • A bachelor's degree or its equivalent in a related field of work (such as engineering, CS, CE, CIS, IS, or MIS).
  • keeps a careful eye on newly developed technology and how they could be used to improve services and goods.
  • Collaborate with the architect and leads to find solutions that satisfy both functional and non-functional needs.
  • demonstrated familiarity with pertinent industry standards and trends.
  • Exhibit a good ability to solve technical and analytical problems.
  • Excellent Python or Scala coding abilities are required, though Python is preferred.
  • Experience in the field of data engineering is a must.
  • Must have completed at least two Databricks projects from start to finish.
  • Experience with Databricks, which are made up of the following components, is required.
  • Delta Lake
  • Knowledge of the Databricks Lakehouse idea and how it's applied in business settings is a must.
  • Strong knowledge of data warehousing, as well as the many security and governance guidelines related to Databricks, is required.
  • Must be familiar with cluster optimization and how different cloud services integrate with it.
  • A solid understanding is required to build a complicated data pipeline.
  • Work experience with both batch and streaming data pipelines is required.
  • Must be well-versed in the Hive and Spark data processing frameworks.
  • Must have experience with all major cloud services, including CosmosDB/DynamoDB, ASB/SQS, ADF/Lambda, Azure, AWS, and GCP, as well as cloud databases.
  • Alright Have CI/CD expertise in order to construct the Databricks job pipeline.
  • It's beneficial to know about DBT.
  • It's beneficial to understand Docker and Kubernetes.

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