Data Engineer

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 Data Engineer (Azure Databricks and Snowflake):

Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using Azure Data Factory, Databricks, and Snowflake.
• Collaborate with stakeholders to define and implement data warehousing solutions tailored to business needs.
• Integrate and maintain CI/CD pipelines for automated deployment and testing of data workflows.
• Utilize GitHub for version control and collaboration on data engineering projects.
• Develop and maintain SQL scripts for data extraction, transformation, and loading processes.
• Perform advanced data analysis and transformation using Python.

Requirements:

• Proven experience with Azure Databricks, Snowflake, and Azure Data Factory.
• Proficiency in SQL for data manipulation and querying.
• Strong understanding of ETL processes and data warehousing principles.
• Familiarity with CI/CD practices and tools for data engineering.
• Hands-on experience with GitHub for version control.
• Solid programming skills in Python.

Desired:

• Knowledge of best practices for optimizing data pipelines and storage in Azure environments.
• Experience with additional Azure services related to data and analytics.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Remote, Mexico General.

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/.