Advanced Data Engineer
Ciudad de México, CDMX, MX
Sequoia Connect
Discover global tech talent through our IT headhunting services, connecting companies with top digital transformation with IT Advisory.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 Advanced Data Engineer:
Responsibilities:
- Design, develop, and optimize data pipelines and workflows using Databricks, Snowflake, and Apache Spark.
- Implement ETL processes to extract, transform, and load data across multiple systems.
- Develop robust data models and ensure high-quality data integration.
- Utilize Python, SQL, and PySpark for advanced data engineering tasks.
- Orchestrate data workflows and enable real-time data processing using modern frameworks.
- Collaborate with cross-functional teams to define data integration requirements and best practices.
- Monitor and maintain the reliability and performance of data systems.
Requirements:
- Strong proficiency in Python, SQL, and PySpark.
- Hands-on experience with Databricks and Snowflake.
- Expertise in data modeling, ETL processes, and workflow orchestration.
- Solid knowledge of Apache Spark and real-time data processing frameworks.
- Experience with Azure cloud services.
Desired:
- Knowledge of advanced data engineering frameworks and tools.
- Familiarity with data integration best practices.
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/.
Requirements
None* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Blockchain Databricks Data pipelines Engineering ETL Pipelines PySpark Python Snowflake Spark SQL
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.