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Data Engineer Position in Hortolândia - WomenTech Network


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 Engineer to be at the forefront of the data revolution, crafting and shaping data platforms that power our and our client organizations' success.

This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.

Key Responsibilities


  • Design and develop data warehouse and data solutions for one of the largest US Clients

  • Collaborate with specialists and client stakeholders to understand business objectives and translate them into effective data solutions.

  • Apply critical thinking and a structured methodology to drive data transformation initiatives with a blend of domain expertise, consulting skills, and software engineering.

  • Take ownership of assigned tasks, including effort estimation and time management, ensuring timely and high-quality delivery.

  • Develop and implement data solutions that meet both business and technical requirements with a strong attention to detail.

  • Work closely with cross-functional teams to gather, structure, and organize data for optimal use.

  • Foster a collaborative team environment, supporting and learning from peers to achieve shared goals.

  • Continuously seek opportunities to improve team workflows and development practices.

  • Provide third-level support for data solutions, addressing complex issues and ensuring system reliability.

  • Contribute to a culture of innovation and growth by transforming data into actionable insights.


  • 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

    Cloud & Data Platforms


  • Proficiency with AWS Glue (ETL, Data Catalog, Crawlers)

  • Hands-on experience with AWS Redshift, Lambda, and S3

  • Experience working with Databricks

  • Familiarity with Confluent Schema Registry

  • Experience using orchestration tools such as Airflow or Control-M

  • ETL & Data Pipelines


  • Experience migrating ETL processes from Talend to AWS Glue

  • Strong development skills using PySpark or Scala for ETL

  • Knowledge of Kafka-based streaming and batch ingestion

  • Ability to design real-time and batch data pipelines

  • Data Governance & Quality


  • Experience with data profiling and governance tools such as Ataccama and Voyager

  • Understanding of data lineage tracking and metadata management

  • Familiarity with PII detection and data masking techniques

  • Experience with schema validation and data contracts

  • Programming & Testing


  • Proficiency in Python scripting

  • Experience using Pytest for unit testing

  • Ability to implement automated data profiling and anomaly detection

  • Data Modeling & AI Readiness


  • Knowledge of Data Lake architecture using Parquet or Delta formats

  • Experience in feature engineering for AI/ML applications

  • Ability to curate datasets optimized for AI/ML readiness

  • Visualization & Reporting


  • Experience integrating and optimizing Power BI dashboards

  • Ability to build real-time analytics dashboards

  • Knowledge of incremental refresh and row-level security in reporting tools


  • 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.

    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 Hortolândia, Brazil, highlighting market share and opportunities for professionals in Data Engineer roles.

    8594 Jobs in Brazil
    8594
    6 Jobs in Hortolândia
    6
    Download Data Engineer Jobs Trends in Hortolândia and Brazil

    Are You Looking for Data Engineer Job?

    Great news! is currently hiring and seeking a 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 WomenTech Network 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 Brazil laws and regulations

    What Is the Average Salary Range for Data Engineer Positions?

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

    Key qualifications for 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 Data Engineer?

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

    WomenTech Network interview tips for Data Engineer

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

    Before the Interview:

    Research: Learn about the WomenTech Network'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 Engineer interview at WomenTech Network, 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 WomenTech Network'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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