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Data Engineering Job Opening In Lima – Now Hiring Kyndryl


Job description

**Who We Are**

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.

So why work at Kyndryl?

We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

**The Role**

Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business.

As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.

In this role, you will have the opportunity to work closely with our customers as part of a top-notch team.

You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes.

Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.

Your role goes beyond traditional data analysis.

You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions.

Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations.

Collaboration will be at the heart of your work.

As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data.

Together, we will ensure the data is in its finest form, ready to deliver actionable insights.

Your unique ability to communicate and empathize with stakeholders will be invaluable.

By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals.

With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.

At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential.

You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation.

By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.

If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl.

Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career.

We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms.

Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

**Who You Are**

You’re good at what you do and possess the required experience to prove it.

However, equally as important – you have a growth mindset; keen to drive your own personal and professional development.

You are customer-focused – someone who prioritizes customer success in their work.

And finally, you’re open and borderless – naturally inclusive in how you work with others.

**Required Skills and Experience:**

+ More than 3 years of experience implementing cloud-based data solutions (Azure, AWS, GCP).
+ Proven experience designing and developing data ingestion and transformation flows in Lake House architecture using cloud services.
+ Strong proficiency in distributed data processing with Spark, especially using PySpark (batch processing required; real-time processing is a plus).
+ Experience optimizing data processes with a focus on cost efficiency (processing time, cluster usage, and cloud service consumption).

Familiarity with automation and reusable components to standardize development practices.
+ Hands-on experience deploying solutions to production environments using CI/CD tools (DevSecOps).
+ Participation in cloud-based projects involving: Large-scale data processing.

Building data pipelines (ETL/ELT).

Migrating processes to cloud platforms.

Process optimization using distributed computing.
+ Experience working in Agile, project-based environments, and developing cross-functional solutions for continuous improvement of development frameworks.
+ Active contribution to technical communities (e.g., Data COE).
+ Ability to present project progress to leadership and management teams, previous experience in banking or financial institutions (highly desirable).

**Preferred Skills and Experience**

Degree in a quantitative discipline, such as industrial engineering, finance, or economics

**Certifications in Azure and/or Databricks** : Databricks Certified Associate Developer for Apache Spark.

Azure Data Engineer Associate / Professional.

**Being You**

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are.

We welcome people of all cultures, backgrounds, and experiences.

But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice.

This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture.

That’s the Kyndryl Way.

**What You Can Expect**

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value.

Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey.

Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.

Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.

At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

**Get Referred!**

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


Required Skill Profession

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering 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 Engineering in Lima, Peru, highlighting market share and opportunities for professionals in Data Engineering roles.

520 Jobs in Peru
520
227 Jobs in Lima
227
Download Data Engineering Jobs Trends in Lima and Peru

Are You Looking for Data Engineering Job?

Great news! is currently hiring and seeking a Data Engineering 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 Kyndryl 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 Data Engineering Positions?

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

Key qualifications for Data Engineering 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.

How Can I Improve My Chances of Getting Hired for Data Engineering?

To improve your chances of getting hired for Data Engineering, 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 Data Engineering Job Success

Kyndryl interview tips for Data Engineering

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

Before the Interview:

Research: Learn about the Kyndryl'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 Data Engineering interview at Kyndryl, 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 Kyndryl'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!

How to Set Up Job Alerts for Data Engineering Positions

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