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Senior Databricks Migration Consultant

Location:
West End, London
Salary:
Remote
Job Type:
Contract
Date Posted:
13 days ago
Expiry Date:
04/07/2024
Job Ref:
databricks2805_1717513804
Start Date:
04/06/2024
Contact:
Sergio Osman
Contact Email:
sergio.osman@xcede.com
Specialism:
Cloud Engineering & Architecture

Senior Databricks Migration Consultant

Remote

This role demands in-depth knowledge of data engineering, cloud technologies (preferably AWS), and a successful record in enterprise level data migrations into Databricks. You will ensure the efficient and secure transition of our data assets to the Databricks Lakehouse Platform, working closely with our external vendors.

You will
- Analyze data requirements, migration impacts, and project dependencies.
- Develop detailed data migration strategies, including architectural plans, data quality evaluations, testing, and creating robust data pipelines and workflows for Databricks best practices.
- Maintain data integrity, security, and compliance with regulations like GDPR.
- Manage data migration from legacy analytics data warehouses, data lakes, and ETL tools to Databricks within set deadlines.
- Comfortable operating in all project phases, adjusting requirements, and supporting the transition from build and migration to production.
- Serve as a Databricks SME, sharing knowledge, technical guidance, and troubleshooting.

Basic skillset requirements
- Proven experience in AWS and/or Azure data migrations
- Databricks architecture, components, and performance tuning.
- 5+ years of hands-on Data Engineering experience, with at least 2 years in a leadership or architect role.
- Building and managing complex data pipelines, data warehouses, or data lakes.
- SQL, Python, and PySpark.
- Data modeling, data governance, and data security principles.

Desirable skillsets
- Docker, Kubernetes
- CI/CD pipelines & IaC.
- Certified in one or more: Databricks or AWS.
- Kafka and/or Spark

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Sergio Osman

Sergio Osman

Specialisms: Data, Data Science, Digital & Product Analytics, Marketing & Insight Analytics, Data Engineering, Business Intelligence, Credit Risk & Analytics
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