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Data Engineer On-site (GDL) Job Opening In Guadalajara – Now Hiring NTT DATA Services


Job description

Req ID: 340437 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer On-site (GDL) to join our team in GDL, Jalisco (MX-JAL), Mexico (MX).

Data Engineer  

On-site position (GDL)

Data Engineers are responsible for designing, building, and maintaining the systems and processes that collect, store, and analyze data.

They are responsible for gathering data from various sources and integrating it into a cohesive system.

Responsibilities include design and implement ETL (Extract, Transform, Load) processes to clean and prepare data for analysis.

Creating and maintaining databases to store large volumes of data efficiently.

Building scalable data pipelines to ensure smooth data flow and accessibility.

Working with data scientists, analysts, and other stakeholders to understand data needs and provide solutions.

Continuously monitoring data systems and optimizing them for better performance and scalability.

 

Key Responsibilities 

• Design and implement tailored data solutions to meet customer needs and use cases, spanning 
from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.


• Provide thought leadership by recommending the most appropriate technologies and solutions 
for a given use case, covering the entire spectrum from the application layer to infrastructure.


• Demonstrate proficiency in coding skills to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.


• Collaborate seamlessly across diverse technical stacks 
• Develop and deliver detailed presentations to effectively communicate complex technical concepts.


• Generate comprehensive solution documentation, including sequence diagrams, class 
hierarchies, logical system views, etc.


• Adhere to Agile practices throughout the solution development process.


• Design, build, and deploy databases and data stores to support organizational requirements.

• Ensure data quality, consistency and governance across multiple sources.


 
Requirements 
• 6 - 8 years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.


• 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.

•  Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).

•  Experience with data pipeline tools (e.g., Apache Airflow, Luigi, Prefect).

•  Proficiency with at least one programming language (Python, Java, or Scala).

•  Experience with cloud platforms (AWS, Azure, or GCP) and their data services (e.g., Redshift, BigQuery, Snowflake, Databricks).

•  Familiarity with data modeling, warehousing, and schema design.

• Understanding of data governance, privacy, and security best practices.

 
Preferred Skills: 
• Demonstrate production experience in core data platforms 
• Exhibit a strong understanding of Data integration technologies 
• Showcase professional written and verbal communication skills to effectively convey complex 
technical concepts.

• Knowledge of infrastructure-as-code tools 

• Experience with streaming technologies (Kafka, Kinesis, etc)  
• Exposure to machine learning data pipelines.

 

#LI-LATAM

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services.

We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success.

As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.

Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.

We are one of the leading providers of digital and AI infrastructure in the world.

NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.

Visit us at 

Whenever possible, we hire locally to NTT DATA offices or client sites.

This ensures we can provide timely and effective support tailored to each client’s needs.

While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements.

For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs.

At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses.

If you are requested to provide payment or disclose banking information, please submit a contact us form, .

NTT DATA endeavors to make  accessible to any and all users.

If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at .

This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

NTT DATA is an equal opportunity employer.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

For our EEO Policy Statement, please click .

If you'd like more information on your EEO rights under the law, please click .

For Pay Transparency information, please click.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer 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 Data Engineer in Guadalajara, Mexico, highlighting market share and opportunities for professionals in Data Engineer roles.

15182 Jobs in Mexico
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637 Jobs in Guadalajara
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Are You Looking for Data Engineer On site (GDL) Job?

Great news! is currently hiring and seeking a Data Engineer On site (GDL) 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 NTT DATA Services 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 Data Engineer On site (GDL) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Guadalajara. 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 Data Engineer On site (GDL)?

Key qualifications for Data Engineer On site (GDL) 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 Data Engineer On site (GDL) Job Success

NTT DATA Services interview tips for Data Engineer On site (GDL)

Here are some tips to help you prepare for and ace your Data Engineer On site (GDL) job interview:

Before the Interview:

Research: Learn about the NTT DATA Services'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.

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

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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 Data Engineer On site (GDL) interview at NTT DATA Services, 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 NTT DATA Services'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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