Azure Databricks

Sequoia Connect
11hRemote

About The Position

Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers. Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape. As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals. We are currently searching for a Azure Databricks : Responsibilities: Own end-to-end development , including coding, testing, debugging, and deployment of data solutions. Execute 100% hands-on PySpark coding to address complex data requirements. Write advanced and complex SQL queries for data analysis and transformation. Implement data ingestion, preparation, integration, and operationalization techniques. Work within architectures involving Data Lakes, Data Warehouses, and Data Marts . Requirements: 6.5 to 10 years of total IT experience , preferably within cloud environments . Minimum of 5 years of experience specifically in Azure Databricks on development projects. Deep expertise in Data Warehousing (DWH) concepts and implementation. Proven ability to develop using Python and PySpark . Excellent communication skills to collaborate effectively with stakeholders. Languages Advanced Oral English. Native Spanish. Note: Fully remote. If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page : https://www.sequoia-connect.com/careers/

Requirements

  • 6.5 to 10 years of total IT experience , preferably within cloud environments
  • Minimum of 5 years of experience specifically in Azure Databricks on development projects.
  • Deep expertise in Data Warehousing (DWH) concepts and implementation.
  • Proven ability to develop using Python and PySpark
  • Excellent communication skills to collaborate effectively with stakeholders.
  • Languages Advanced Oral English.
  • Native Spanish.

Responsibilities

  • Own end-to-end development , including coding, testing, debugging, and deployment of data solutions.
  • Execute 100% hands-on PySpark coding to address complex data requirements.
  • Write advanced and complex SQL queries for data analysis and transformation.
  • Implement data ingestion, preparation, integration, and operationalization techniques.
  • Work within architectures involving Data Lakes, Data Warehouses, and Data Marts
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