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AWS Lead Data Engineer Job Opening In Ciudad de México – Now Hiring Logicea


Job description

Direct message the job poster from Logicea

At Logicea, we empower some of the biggest names in business with beautiful, intuitive software that unlocks potential for employees, builds loyalty with customers and fuels game-changing bottom-line results.

Since 2013, our team has been focused on harnessing the possibilities of the digital world through a combination of user-focused design thinking and bleeding-edge engineering.

Our diverse cast of clients includes the likes of IPG Mediabrands, IPG Mediahub, PwC, HPe, Citibank, Federal Tax Authority (UAE), PCCW Global and SpaceX.

They all share one common trait with Logicea: A commitment to relentless innovation and growth.

Our services and software solutions stretch across a wide range of industries and they all work toward one mission: Redefining the relationship between people, processes and technology to realize new possibilities in a digital-first economy.

Role Objectives

  • Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.

  • Collaborate with data analysts, and business stakeholders to understand and translate their data needs and deliver scalable data solutions.

  • Contribute to the development and improvement of data engineering processes and standards.

  • Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

  • Design and implement robust and scalable data architectures on the AWS platform, including data lakes, data warehouses, and data pipelines.

  • Develop and maintain ETL/ELT processes using AWS services such as AWS Glue, AWS Lambda and AWS Step Functions.

  • Build and manage data pipelines for ingesting, transforming, and loading data from various sources, including databases, APIs, and cloud storage.

  • Ensure data quality, security, and compliance with industry best practices and regulatory requirements.

  • Troubleshoot and resolve data-related issues, including performance bottlenecks and data integrity problems.

  • Mentor junior data engineers and provide guidance on best practices and technologies.

  • Stay up-to-date with the latest advancements in AWS technologies and data engineering best practices.

Requirements

  • Minimum 6+ years of experience building and deploying large-scale data processing pipelines in a production environment.

  • Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.

  • Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, AWS Step Functions etc.

  • Strong experience with Apache Spark for data processing and analytics.

  • Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.

  • Solid understanding of data modeling, database design principles, and SQL and Spark SQL.

  • Experience with version control systems (e.g., Git) and CI/CD pipelines.

  • Highly collaborative, with excellent communication skills (verbal and written) in English.

  • Excellent analytical and problem-solving skills.

  • Strong organized, detail and quality-oriented individual.

  • Ability to work efficiently with cross-functional teams and independently applying Agile/Scrum delivery processes.

  • Attached an updated CV in English version.

Education

  • Bachelor’s degree in Computer Science or related field is required; Master’s degree is a plus.

Work Location

  • Candidates must already be based in Latin America to support the US Eastern time zone.

  • Full-Time Contract
  • Competitive compensation package
  • Working in exciting projects for the world’s largest companies and organizations

Contact Information

Please send your CV to including the position code 25-ALE20-lam.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Software Development

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Required Skill Profession

Gestión Informática Y Gestión De Proyectos Informáticos


  • Job Details

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Unlock Your AWS Lead Potential: Insight & Career Growth Guide


Real-time AWS Lead 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 AWS Lead in Ciudad de México, Mexico, highlighting market share and opportunities for professionals in AWS Lead roles.

3354 Jobs in Mexico
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456 Jobs in Ciudad De México
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Are You Looking for AWS Lead Data Engineer Job?

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

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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 Logicea 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 Mexico laws and regulations

What Is the Average Salary Range for AWS Lead Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Ciudad de México. 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 AWS Lead Data Engineer?

Key qualifications for AWS Lead 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.

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Interview Tips for AWS Lead Data Engineer Job Success

Logicea interview tips for AWS Lead Data Engineer

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

Before the Interview:

Research: Learn about the Logicea'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 AWS Lead Data Engineer interview at Logicea, 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 Logicea'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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