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Azure Databricks Engineer

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Proven expertise in Databricks platform, Proficiency in Python, SQL, and Scala, Databricks Certified Data Engineer Professional certification, Experience with Azure cloud services.

Key responsabilities:

  • Design and optimize solutions on Databricks
  • Develop and maintain data pipelines using Delta Lake

Sequoia Global Services logo
Sequoia Global Services Startup http://www.sequoia-connect.com
11 - 50 Employees
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Job description

Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights. 

We are currently searching for a Azure Databricks Engineer:

Responsibilities:

  • Design, implement, and optimize solutions on the Databricks platform.
  • Develop and maintain data pipelines using Delta Lake and Delta Live Tables.
  • Integrate Azure Purview with data cataloging and governance strategies.
  • Apply big data processing techniques using Apache Spark.
  • Collaborate with cross-functional teams to establish CI/CD pipelines and implement Infrastructure as Code with Terraform.

Requirements:

  • Proven expertise in the Databricks platform, including Unity Catalog and Delta Lake.
  • Proficiency in Python, SQL, and Scala.
  • Strong knowledge of Azure Purview and its integration.
  • Solid experience with Apache Spark and big data processing.
  • Familiarity with CI/CD pipelines and Terraform.
  • Databricks Certified Data Engineer Professional certification.
  • Experience with Azure cloud services.

Desired:

  • Knowledge of data mesh principles.
  • Experience in developing data quality frameworks.
  • Skills in data product lifecycle management.
  • Expertise in performance optimization and cost management.
  • ML Ops and advanced analytics support.

Languages

  • Advanced Oral English.
  • Native Spanish.

Note:

  • Fully remote

If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/.


Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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