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Senior Data Engineer Job Opening In WorkFromHome – Now Hiring Parser


Job description

Direct message the job poster from Parser

IT Recruiter | Technical Recruiter | Psychologist | IAmRemarkable

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry.

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

You would join the data platform team to develop data infrastructure to support our next generation products and data initiatives.

In this group, you will be responsible for building, operationalizing and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

Do you believe testing should be at the heart of any engineering effort?

Do you believe that ruthless simplification and refactoring are the soul of any engineering effort?

Do you want to help establish an Engineering culture with these fundamentals?

We are looking for individuals hungry to drive change across an already very profitable business.

Technology is changing rapidly, and that pace is only accelerating.

Advancements in GPT (Generative Pre-trained Transformer) models and Retrieval-Augmented Generation (RAG) algorithms are just a couple examples.

We are expanding our Engineering teams to leverage these innovative technologies and modernize our entire Data Management Platform.

Come join us to learn and apply modern technologies and prepare our platforms for the many growth opportunities which lie ahead.

Key Responsibilities

  • Define and implement payment schedules for loans
  • Develop and maintain reporting and data pipeline systems
  • Apply payments and ensure accurate processing
  • Manage downstream credit bureau reporting through data pipelines
  • Collaborate with compliance and legal teams to ensure reporting alignment
  • Contribute to the development of new features and plan for future architecture
  • Participate in the migration to a new architecture

Required Skills and Experience

  • Strong proficiency in Python and SQL
  • Experience with Pandas for data manipulation and reporting
  • Expertise in PostgreSQL, including performance optimization
  • Familiarity with AWS S3
  • Experience with Apache Airflow
  • Knowledge of CloudWatch for log management
  • Experience with Snowflake
  • Ability to adapt to new technologies (Java/Kotlin in the near future)

What you'll bring to us

  • Able to work well within the constructs of an agile development process, including SCRUM, Unit Testing, Continuous Build, and Integration, etc.

  • Proficiency in programming languages, especially Python, is typically required
  • Experience in building and optimizing big data data pipelines, and data sets.

    This includes designing, constructing, installing, testing, and maintaining highly scalable data management systems
  • Understanding of data structures and algorithms, as well as skills in distributed computing.

    The ability to develop procedures for data mining, data modeling, and data production.

  • Experience with cloud services such as AWS, Google Cloud, or Azure can be important, as many businesses utilize these platforms for their data storage and processing needs.

Some of the benefits you’ll enjoy working with us

  • The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.

  • The opportunity to be part of an amazing, multicultural community of tech experts.

  • The opportunity to grow and develop your career with the company.

  • A flexible and remote working environment.

Come and join our #ParserCommunity.

Note: This refined description focuses on the core role and keeps only relevant job information.

It excludes unrelated postings and clutter for clarity.

#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior 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 Senior Data in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

63487 Jobs in Colombia
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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior 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 Parser 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 Colombia laws and regulations

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

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include Bases De Datos, Analítica Y Bi 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 Senior Data Engineer?

To improve your chances of getting hired for Senior 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 Senior Data Engineer Job Success

Parser interview tips for Senior Data Engineer

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

Before the Interview:

Research: Learn about the Parser'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 Senior Data Engineer interview at Parser, 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 Parser'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 Senior Data Engineer Positions

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