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Sr. Data Engineer Job Opening In Monterrey – Now Hiring Infosys


Job description

Job description Data Engineer Location: Mexico (Mexico City, Guadalajara, Monterrey) – Hybrid as per Infosys Mexico policy (CST time)Role OverviewData Engineers design and build scalable data pipelines using tools like Azure Data Factory, Synapse, and Databricks.

Manage data storage, transformation, and integration while ensuring data quality, security, and compliance.

Collaboration with cross-functional teams and implementing best practices in DevOps, governance, and performance tuning are key to success.Key ResponsibilitiesDesign and implement data storage solutions.Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposesUtilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operationsUse Azure Data Factory and Databricks to assemble large, complex data setsImplementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.Ensure data security and complianceOptimize Azure SQL databases for efficient query performanceCollaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architecturesParticipate in all scrum ceremoniesBasic QualificationsBachelor’s degree or foreign equivalent in Computer Science or related field.7+ years of IT experience, including data engineering and cloud solutions.English – strong verbal and written communication.Proven experience implementing Azure services in enterprise environments.Knowledge of infrastructure (networking, storage, hardware optimization).Mandatory SkillsAzure Certification: Solutions Architect, DeveloperHands-on experience with: ADF, Synapse Analytics, Data Lake storage, SQL database / SQL server, Azure DatabricksPython, PySpark ETL and Pipeline designsPreferred SkillsBlend of technical expertise, analytical problem-solving, and collaboration with cross-functional teamsAzure DevOpsApache Spark, PythonSQL proficiencyData modelingETL processesAzure Databricks knowledgeFamiliarity with data warehousingBig data technologiesData governance principles· Other RequirementsAbility to work under tight timelines and manage complex requirements.Flexible to work extended hours if needed.Self-motivated, proactive, and a strong team player.

EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Sr Data Potential: Insight & Career Growth Guide


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

7284 Jobs in Mexico
7284
358 Jobs in Monterrey
358
Download Sr Data Jobs Trends in Monterrey and Mexico

Are You Looking for Sr. Data Engineer Job?

Great news! is currently hiring and seeking a Sr. 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 Infosys 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 Sr. Data Engineer Positions?

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

Key qualifications for Sr. 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.

How Can I Improve My Chances of Getting Hired for Sr. Data Engineer?

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

Infosys interview tips for Sr. Data Engineer

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

Before the Interview:

Research: Learn about the Infosys'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 Sr. Data Engineer interview at Infosys, 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 Infosys'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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