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Cloud Data Engineer Job Opening In Providencia – Now Hiring Equifax


Job description

2 weeks ago Be among the first 25 applicants

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What You’ll Do

  • Productionize machine learning models by building performant data transformations, storage, and pipelines.

  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross-functional team consisting of QA, Operations, and other team members.

  • Apply development and testing best practices and demonstrate skilled software craftsmanship to produce maintainable, scalable, and quality solutions.

  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.

  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.

What Experience You Need

  • BS degree in a STEM major or equivalent job experience required; Master’s Degree preferred; AI/ML coursework preferred
  • 2-5 years of related experience
  • Experience with ML models design, development or deployment
  • Experience with cloud platforms and distributed computing frameworks
  • Cloud Certification Strongly Preferred
  • 2+ years experience working with software design and Java, Python and Javascript programming languages
  • 2+ years experience with software build management tools like Maven or Gradle
  • 2+ years experience with HTML, CSS and frontend/web development
  • 2+ years experience with software testing, performance, and quality engineering techniques and strategies
  • 2+ years experience with Cloud technology: GCP, AWS, or Azure
  • Architect & Develop end-to-end data pipelines (batch & streaming) on GCP using Dataflow, Pub/Sub, Dataproc, BigQuery, and Cloud Storage
  • Design & build microservices-based data applications in Java and Python, with clear APIs and containerized deployments
  • Integrate AI/ML models into production pipelines and microservices, collaborating with ML teams to deploy Tensorflow/PyTorch models via Vertex AI or AI Platform

What Could Set You Apart

An ability to demonstrate successful performance utilizing our Success Profile skills, including:

  • Application Development/Programming - Proficiency in Python; Experience with data processing and machine learning libraries (pandas, numpy, scipy, sklearn, tensorflow, pytorch, etc.)
  • Artificial Intelligence - Understand how to deploy machine learning models to production systems, including containerization (Docker) and cloud-based deployment
  • Big Data Analytics - Understand big data analysis, including data cleaning, data transformation and data visualization
  • Cloud Computing - Understand big data processing frameworks and various database technologies
  • Collaboration - Excellent verbal and written communication skills to document and present findings clearly
  • Mathematics - Understand advanced statistical concepts and machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.)
  • Technical Leadership - Demonstrates an ability to provide guidance to colleagues

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

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Required Skill Profession

Gestión Informática Y Gestión De Proyectos Informáticos


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Unlock Your Cloud Data Potential: Insight & Career Growth Guide


Real-time Cloud Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Cloud Data in Providencia, Chile, highlighting market share and opportunities for professionals in Cloud Data roles.

5317 Jobs in Chile
5317
21 Jobs in Providencia
21
Download Cloud Data Jobs Trends in Providencia and Chile

Are You Looking for Cloud Data Engineer Job?

Great news! is currently hiring and seeking a Cloud Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Equifax adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Chile laws and regulations

What Is the Average Salary Range for Cloud Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Providencia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Cloud Data Engineer?

Key qualifications for Cloud Data Engineer typically include Gestión Informática Y Gestión De Proyectos Informáticos and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Cloud Data Engineer?

To improve your chances of getting hired for Cloud Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Cloud Data Engineer Job Success

Equifax interview tips for Cloud Data Engineer

Here are some tips to help you prepare for and ace your Cloud Data Engineer job interview:

Before the Interview:

Research: Learn about the Equifax's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Cloud Data Engineer interview at Equifax, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Equifax's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Cloud Data Engineer Positions

Setting up job alerts for Cloud Data Engineer is easy with Chile Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!