• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Mexico Jobs Expertini

Senior Data Engineer – AI Data Platform (OCI Lakehouse) Job Opening In Mexico, Mexico – Now Hiring Oracle


Job description

What You’ll Be Doing (Core Mission)

  • Design and implement large-scale, fault-tolerant data pipelines on OCI, using services like OCI Data Integration, OCI Data Flow (Apache Spark), Object Storage, and Autonomous Database.
  • Build and manage streaming data architectures using tools such as OCI GoldenGate, Apache Kafka, and Spark/Flink Streaming.
  • Enforce standards and automation across the entire data lifecycle, including schema evolution, dataset migration, and deprecation strategies.
  • Improve platform resilience, data quality, and observability with advanced monitoring, alerting, and automated data governance.
  • Serve as a technical leader, mentoring junior engineers, reviewing designs and code, and promoting engineering best practices.
  • Collaborate cross-functionally with ML engineers, platform teams, and data scientists to integrate data services with AI/ML workloads.
  • Partner in AI pipeline enablement, ensuring Lakehouse services efficiently support model training, feature engineering, and real-time inference.
  • Required Technical Skills & Experience


     Engineering & Infrastructure

  • 5+ years building distributed systems or production-grade data platforms in the cloud.
  • Strong coding proficiency in Python, Java, or Scala, with an emphasis on performance and reliability.
  • Expertise in SQL and PLSQL, data modeling, and query optimization.
  • Proven experience with cloud-native architectures—especially OCI, AWS, Azure, or GCP.
  •  Lakehouse & Streaming Mastery

  • Deep knowledge of modern lakehouse/table formats: Apache Iceberg, Delta Lake, or Apache Hudi.
  • Production experience with big data compute engines: Spark, Flink, or Trino.
  • Skilled in real-time streaming and event-driven architectures using Kafka, Flink, GoldenGate, or Streaming.
  • Experience managing data lakes, catalogs, and metadata governance in large-scale environments.
  •  AI/ML Integration

  • Hands-on experience enabling ML pipelines: from data ingestion to model training and deployment.
  • Familiarity with ML frameworks (., PyTorch, XGBoost, scikit-learn).
  • Understanding of modern ML architectures: including RAG, prompt chaining, and agent-based workflows.
  • Awareness of MLOps practices, including model versioning, feature stores, and integration with AI pipelines.
  • DevOps & Operational Excellence

  • Deep understanding of CI/CD, infrastructure-as-code (IaC), and release automation using tools like Terraform, GitHub Actions, or CloudFormation.
  • Experience with Docker, Kubernetes, and cloud-native container orchestration.
  • Strong focus on testing, documentation, and system observability (Prometheus, Grafana, ELK stack).
  • Comfortable with cost/performance tuning, incident response, and data security standards (IAM, encryption, auditing).
  • Preferred Qualifications

  • Experience with Oracle’s cloud-native tools: OCI Data Integration, Data Flow, Autonomous Database, GoldenGate, OCI Streaming.
  • Experience with query engines like Trino or Presto, and tools like dbt or Apache Airflow.
  • Familiarity with data cataloging, RBAC/ABAC, and enterprise data governance frameworks.
  • Exposure to vector databases and LLM tooling (embeddings, vector search, prompt orchestration).
  • Solid understanding of data warehouse design principles, star/snowflake schemas, and ETL optimization.
  • Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
  • 4–6 year’s experience designing and building cloud-based data pipelines and distributed systems.
  • Proficiency in at least one core language: Python, Java, or Scala.
  • Familiar with lakehouse formats (Iceberg, Delta, Hudi), file formats (Parquet, ORC, Avro), and streaming platforms (Kafka, Kinesis).
  • Strong understanding of distributed systems fundamentals: partitioning, replication, idempotency, consensus protocols.
  • Soft Skills & Team Expectations

  • Proven ability to lead technical initiatives independently end-to-end.
  • Comfortable working in cross-functional teams and mentoring junior engineers.
  • Excellent problem-solving skills, design thinking, and attention to operational excellence.
  • Passion for learning emerging data and AI technologies and sharing knowledge across teams.
  • Career Level - IC3

    Required Skill Profession

    Computer Occupations


    • Job Details

    Related Jobs

    Trimble hiring AI Data Engineer Job in Mexicali, Baja California, Mexico
    Trimble
    Mexicali, Baja California, Mexico
    NEORIS hiring AI Data Engineer Job in Monterrey, Nuevo Leon, Mexico
    NEORIS
    Monterrey, Nuevo Leon, Mexico
    DaCodes hiring AI-Data Engineer Job in Santiago de Querétaro, Querétaro de Arteaga, Mexico
    DaCodes
    Santiago de Querétaro, Querétaro de Arteaga, Mexico
    Oracle hiring Principal Software Development Engineer, AI Data Platform Job in Mexico City, Mexico City, Mexico
    Oracle
    Mexico City, Mexico City, Mexico
    Tential Solutions hiring Nearshore Data Engineer – Modern Data Platform Job in WorkFromHome, Estado de México, Mexico
    Tential Solutions
    WorkFromHome, Estado de México, Mexico
    MX003 Marsh And Mclennan Servicios S.A. De Cv hiring Sr. Data Platform Engineer Job in Ciudad de México, Ciudad de México, Mexico
    MX003 Marsh And Mclennan Servicios S.A. De Cv
    Ciudad de México, Ciudad de México, Mexico
    Truelogic Software LLC hiring Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader | Mexico Job in WorkFromHome, Ciudad de México, Mexico
    Truelogic Software LLC
    WorkFromHome, Ciudad de México, Mexico
    Oracle hiring Principal Solutions Architect - AI Data Platform Job in Zapopan, Jalisco, Mexico
    Oracle
    Zapopan, Jalisco, Mexico
    Oracle hiring Principal Solutions Architect - AI Data Platform Job in ZAPOPAN, Mexico, Mexico
    Oracle
    ZAPOPAN, Mexico, Mexico
    Oracle hiring Principal Solutions Architect - AI Data Platform Job in Región Centro, Jalisco, Mexico
    Oracle
    Región Centro, Jalisco, Mexico
    Svitla Systems, Inc. hiring MID/SR. DATA PLATFORM ENGINEER Job in WorkFromHome, WorkFromHome, Mexico
    Svitla Systems, Inc.
    WorkFromHome, WorkFromHome, Mexico
    Kira Financial AI hiring AI Platform Engineer Job in WorkFromHome, WorkFromHome, Mexico
    Kira Financial AI
    WorkFromHome, WorkFromHome, Mexico
    NEORIS hiring AI Platform Engineer Job in Mexico
    NEORIS
    Mexico
    Levi Strauss & Co hiring Senior Data Engineer Job in Mexico City, Federal District, Mexico
    Levi Strauss & Co
    Mexico City, Federal District, Mexico
    Microsoft hiring Senior Data Engineer Job in Mexico City, Mexico City, Mexico
    Microsoft
    Mexico City, Mexico City, Mexico
    3Pillar Global hiring Senior Data Engineer Job in Mexico
    3Pillar Global
    Mexico
    NEORIS hiring Data Engineer Senior Job in Monterrey, Nuevo Leon, Mexico
    NEORIS
    Monterrey, Nuevo Leon, Mexico
    STX Next sp. z o.o. hiring Senior Data Engineer Job in Mérida, Yucatan, Mexico
    STX Next sp. z o.o.
    Mérida, Yucatan, Mexico
    NEORIS hiring Data Engineer Senior Job in mexico, mexico, Mexico
    NEORIS
    mexico, mexico, Mexico
    Endava hiring Senior Data Engineer Job in Monterrey, Nuevo Leon, Mexico
    Endava
    Monterrey, Nuevo Leon, Mexico
    Microsoft Corporation hiring Senior Data Engineer Job in Mexico City, Mexico, Mexico
    Microsoft Corporation
    Mexico City, Mexico, Mexico
    Microsoft Corporation hiring Senior Data Engineer Job in Mexico City, Mexico, Mexico
    Microsoft Corporation
    Mexico City, Mexico, Mexico

    Unlock Your Senior Data Potential: Insight & Career Growth Guide


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

    11247 Jobs in Mexico
    11247
    3379 Jobs in Mexico
    3379
    Download Senior Data Jobs Trends in Mexico and Mexico

    Are You Looking for Senior Data Engineer – AI Data Platform (OCI Lakehouse) Job?

    Great news! is currently hiring and seeking a Senior Data Engineer – AI Data Platform (OCI Lakehouse) 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 Oracle 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 Senior Data Engineer – AI Data Platform (OCI Lakehouse) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Mexico. 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 Senior Data Engineer – AI Data Platform (OCI Lakehouse)?

    Key qualifications for Senior Data Engineer – AI Data Platform (OCI Lakehouse) 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 Senior Data Engineer – AI Data Platform (OCI Lakehouse)?

    To improve your chances of getting hired for Senior Data Engineer – AI Data Platform (OCI Lakehouse), 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 Senior Data Engineer – AI Data Platform (OCI Lakehouse) Job Success

    Oracle interview tips for Senior Data Engineer – AI Data Platform (OCI Lakehouse)

    Here are some tips to help you prepare for and ace your Senior Data Engineer – AI Data Platform (OCI Lakehouse) job interview:

    Before the Interview:

    Research: Learn about the Oracle'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 Senior Data Engineer – AI Data Platform (OCI Lakehouse) interview at Oracle, 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 Oracle'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 Senior Data Engineer – AI Data Platform (OCI Lakehouse) Positions

    Setting up job alerts for Senior Data Engineer – AI Data Platform (OCI Lakehouse) is easy with Mexico Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!