16 sep
|
Sequoia Connect
|
Ciudad de México
16 sep
Sequoia Connect
Ciudad de México
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the integral digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Python Developer – AWS:
The Challenge (Responsibilities)
- Design, build, and deploy robust applications utilizing Python within an AWS cloud environment.
- Process and manage large volumes of structured and unstructured data.
- Implement and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines to ensure smooth and efficient software delivery.
- Leverage AWS compute services and big data tools to optimize application performance and data processing workflows.
Your Profile (Requirements)
- 8+ years of relevant overall IT experience.
- 4+ years of hands-on experience with Python, SQL, Spark, and Amazon EMR.
- 5+ years of experience in building and deploying applications in AWS, specifically utilizing services such as S3, Lambda, Elastic Beanstalk, Hive, Glue, Redshift, RDS, CloudWatch, SNS, SQS, and Kinesis.
- Proven experience processing large amounts of structured and unstructured data.
- Strong experience with CI/CD practices and knowledge of Git, Bitbucket, and Jenkins.
- Highly skilled in AWS Compute services (e.g., EC2, Lambda, Beanstalk, ECS, EMR).
- Strong proficiency in SQL.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired
- Familiarity with cloud-native foundations or AI coding assistants.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- Salary: $80,000 MXN mensual.
Work Arrangement We value flexibility to support your lifestyle. This position is available as:
- Remote / Hybrid / On-site (Depending on specific project needs).
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
- 8+ years of relevant experience
- 4 or more years of experience with Python, SQL, Spark and Amazon EMR
- 5+ years of experience in building and deploying applications in AWS (S3, Lambda, Elastic Beanstalk, Hive, Glue, Redshift, RDS, CloudWatch, SNS, SQS, Kinesis etc.)
- Experience processing large amounts of structured and unstructured data
- Experience with CI/CD with knowledge of Git, Bitbucket, Jenkins
- Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, EMR
- Skilled in strong SQL
📌 Python Developer - AWS (Ciudad de México)
🏢 Sequoia Connect
📍 Ciudad de México