Offer summary

Qualifications:

Experience in data engineering, especially with legacy systems., Proficiency in Python and Scala for data processing., Knowledge of AWS cloud services and infrastructure monitoring., Strong problem-solving skills and ability to work independently..

Key responsibilities:

Monitor and maintain existing data pipelines and systems.

Improve system monitoring and alerting mechanisms.

Troubleshoot and resolve data processing and infrastructure issues.

Collaborate with stakeholders to ensure data reliability and security.

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 Data Engineer:

We are looking for a highly autonomous and proactive Data Engineer to take ownership of maintaining and improving our legacy data systems. This role is critical in ensuring the robustness, reliability, and efficiency of our existing infrastructure while proactively enhancing monitoring, alerting, and automation processes. If you thrive in solving complex problems and optimizing systems for long-term stability, this role is for you.

Responsibilities

Monitor and maintain existing data pipelines and systems.
Enhance system monitoring and improve alerting mechanisms for automated workflows.
Troubleshoot and resolve support tickets related to data processing and infrastructure.
Optimize and improve system robustness through proactive debugging and performance tuning.
Collaborate with stakeholders to ensure data reliability, security, and availability.
Contribute to the development of testing frameworks and best practices for legacy systems.

Requirements

Strong experience in data engineering, with a focus on maintaining and optimizing legacy systems.
Solid foundations of Python and Scala for data processing.
Proven experience with AWS cloud services and infrastructure monitoring.
Proficiency in GitLab, CI/CD pipelines, and testing automation.
Strong problem-solving skills and ability to work independently in a fast-paced environment.
Excellent communication skills and ability to collaborate across teams.

Languages

Advanced Oral English.
Native Spanish.

Note:

Hybrid

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

Requirements

Strong experience in data engineering, with a focus on maintaining and optimizing legacy systems.
Solid foundations of Python and Scala for data processing.
Proven experience with AWS cloud services and infrastructure monitoring.
Proficiency in GitLab, CI/CD pipelines, and testing automation.
Strong problem-solving skills and ability to work independently in a fast-paced environment.
Excellent communication skills and ability to collaborate across teams.

Required profile