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ETL/ELT - Data Engineer Job Opening In Chorrillos – Now Hiring IDT


Job description


ETL/ELT - Data Engineer

This is a full-time work from home opportunity for a star Data Engineer from LATAM.

IDT(www.idt.net) is an American telecommunications company founded in 1990 and headquartered in New Jersey.

Today it is an industry leader in prepaid communication and payment services and one of the worlds largest international voice carriers.

We are listed on the NYSE, employ over 1300 people across 20+ countries, and have revenues in excess of $1.5 billion.

IDT is looking for a skilled Data Engineer to join our BI team and take an active role in performing data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals.

Responsibilities:

  • Design, implement, and validate ETL/ELT data pipelinesfor batch processing, streaming integrations, and data warehousing, while maintaining comprehensive documentation and testing to ensure reliability and accuracy.

  • Maintain end-to-end Snowflake data warehouse deployments and develop Denodo data virtualization solutions.
  • Recommend process improvements to increase efficiency and reliability in ELT/ETL development.
  • Stay current on emerging data technologies and support pilot projects, ensuring the platform scales seamlessly with growing data volumes.

  • Architect, implement and maintain scalable data pipelines that ingest, transform, and deliver data into real-time data warehouse platforms, ensuring data integrity and pipeline reliability.
  • Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
  • Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
  • Should be willing to stay informed and learn emerging methodologies in data engineering, and open source technologies.

Requirements:

  • 5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics.
  • Excellent English communication skills.
  • Effective oral and written communication skills with BI team and user community.
  • Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
  • Design and implement event-driven pipelines that leverage messaging and streaming events to trigger ETL workflows and enable scalable, decoupled data architectures.
  • Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities.
  • Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources.
  • Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc.
  • Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning.
  • Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
  • Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
  • Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.


Pluses

  • Experience in developing ETL/ELT processes within Snowflake and implementing complex data transformations using built-in functions and SQL capabilities.
  • Experience using Pentaho Data Integration (Kettle) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows.

  • Experience designing and implementing cloud-based ETL solutions using Azure Data Factory, DBT, AWS Glue, Lambda and open-source tools.
  • Experience with reporting/visualization tools (e.g., Looker) and job scheduler software.
  • Experience in Telecom, eCommerce, International Mobile Top-up.
  • Preferred Certification: AWS Solution Architect, AWS Cloud Data Engineer, Snowflake SnowPro Core.

Please attach CV in English.
The interview process will be conducted in English.

Only accepting applicants from LATAM.





PI2a34d2c51cef-30511-38865111

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your ETL ELT Potential: Insight & Career Growth Guide


Real-time ETL ELT 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 ETL ELT in Chorrillos, Peru, highlighting market share and opportunities for professionals in ETL ELT roles.

7 Jobs in Peru
7
1 Jobs in Chorrillos
1
Download Etl Elt Jobs Trends in Chorrillos and Peru

Are You Looking for ETL/ELT Data Engineer Job?

Great news! is currently hiring and seeking a ETL/ELT 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 IDT 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 Peru laws and regulations

What Is the Average Salary Range for ETL/ELT Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chorrillos. 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.

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Key qualifications for ETL/ELT Data Engineer typically include Computer Occupations 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.

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Interview Tips for ETL/ELT Data Engineer Job Success

IDT interview tips for ETL/ELT   Data Engineer

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

Before the Interview:

Research: Learn about the IDT'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 ETL/ELT Data Engineer interview at IDT, 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 IDT'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!

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