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Analytics Data Engineer Position in Mexico City - Teradata

Analytics Data Engineer

    Mexico Jobs Expertini Expertini › Mexico › Jobs › Mexico City › Other General › Analytics Data Engineer

Job description

**Our Company**

At Teradata, we believe that people thrive when empowered with better information.

That’s why we built the most complete cloud analytics and data platform for AI.

By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions.

The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

**What You’ll Do**

+ As an Analytics Data Engineer on the CTO Data & Analytics team, you will play a pivotal role in helping to architect how data is leveraged throughout the company.
+ You will help design, build, and maintain a scalable data infrastructure that powers business intelligence and analytics initiatives.

This role bridges the gap between data engineering and analytics, ensuring data is accessible, reliable, and optimized for analytical and business consumption.
+ You will design and develop ETL pipelines to ingest data from multiple sources into our data warehouse and analytical platforms to support our Customer Engagement Insights initiative.
+ The Analytics Data Engineer will build and maintain data models optimized for analytical queries and business reporting and focus on telemetry insights that will ultimately help drive business decisions.
+ You will develop a strong understanding of the raw data to ensure accuracy when creating business-user views.
+ You will collaborate with data analysts and business intelligence teams to understand requirements and translate them into technical solutions
+ You will partner with our corporate Data Architecture team (AI Data Hub) for the purpose of developing a knowledge base for AI agents and more.
+ Success with be determined through the launch and deployment of a business-centric data environment that enables telemetry and customer engagement insights while leveraging and AI data architecture

**Who You’ll Work With**

+ This position resides within the Office of the Chief Technology Officer yet will have a far-reaching connection with the corporate enterprise architecture team and data stewards throughout the company.
+ As an Analytics Data Engineer you will be expected to partner with other data owners and their representative organizations (Enterprise Architecture, Product, Marketing, Services, GTM, and OCTO).
+ This role will report to the Senior Director of Data, Analytics and Technical Strategy

**What Makes You a Qualified Candidate**

+ Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
+ 3-5 years of experience in data analytics, data modeling, and data architecture.
+ Strong proficiency in SQL and experience with modern data warehouses
+ Programming experience in Python and/or another language (Java, Scala, etc.)
+ AI & machine learning background and understanding of AI architecture and knowledge bases.
+ Strong skills in SQL for data manipulation.
+ Strong written and verbal communication skills.

**What you will bring**

+ Exposure to data normalization, indexing, and data relationship concepts.
+ Strong proficiency in SQL for query optimization, data manipulation, and database management
+ Background in data structures and data architectures.
+ Proficiency with Microsoft Excel and PowerBI/Tableau.
+ Interest in Analytics, AI, and Large Language Models (LLM).
+ Willingness to collaborate and engage with cross-organizational teams.

#LI-DL1

Why We Think You’ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success.

We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work.

We focus on well-being because we care about our people and their ability to thrive both personally and professionally.

We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.


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

3016 Jobs in Mexico
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Are You Looking for Analytics Data Engineer Job?

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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 Teradata 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 Analytics Data Engineer Positions?

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

Key qualifications for Analytics Data Engineer typically include Other General 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 Analytics Data Engineer Job Success

Teradata interview tips for Analytics Data Engineer

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

Before the Interview:

Research: Learn about the Teradata'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 Analytics Data Engineer interview at Teradata, 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 Teradata'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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