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Senior Trainer – Data Engineering

hace 2 semanas

Guadalajara, Jalisco, México Revature A tiempo completo

About the Role:

We are looking for a
Senior Trainer - Data Engineering
with strong expertise in modern data platforms and AI-driven data systems. The ideal candidate will be an experienced data engineer capable of delivering advanced training on end-to-end data engineering workflows - from data ingestion and transformation to preparing high-quality datasets for AI and machine learning applications.

This role is central to training the next generation of Data Engineers and AI-ready professionals, leveraging cutting-edge tools such as Databricks, Apache Spark, Kafka, Airflow, Delta Lake, and Snowflake.

About Revature:

Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.

Key Responsibilities:

  • Deliver in-depth, interactive, and hands-on sessions on
    advanced data engineering and AI integration
    .
  • Train and mentor learners on:
  • Distributed processing
    using
    Apache Spark
    and
    Databricks.
  • Data orchestration
    with
    Airflow
    and
    CI/CD pipelines
    for data workflows
  • Real-time streaming
    using
    Kafka
    and
    Kinesis
  • Lakehouse architectures
    using
    Delta Lake
    ,
    Snowflake
    , and
    cloud-native solutions
  • Data preparation for AI/ML pipelines
    , including feature engineering and dataset versioning
  • Working with
    MLflow
    ,
    Databricks AutoML
    , and
    AI/ML integrations
    on cloud platforms
  • Implementing
    data governance, lineage, and monitoring
    best practices
  • Guide learners through
    AI-ready data engineering projects
    , combining data pipelines with model development and deployment.
  • Collaborate with curriculum designers to integrate emerging
    AI and data science tools
    (e.g., Vector Databases, MLOps frameworks) into the training modules.
  • Conduct performance evaluations, code reviews, and one-on-one learner mentoring sessions.
  • Stay current with
    AI trends
    ,
    modern data infrastructure
    , and
    cloud-native innovations
    to continuously enrich the training experience.

Required Skills & Qualifications:

  • Experience:
    5+ years in
    Data Engineering
    ,
    Big Data
    , or
    AI/ML Infrastructure Development
    .

Technical Expertise:

  • Strong programming skills in
    Python (pandas & numpy)
    and
    SQL
    .
  • Hands-on experience with
    Databricks
    ,
    Apache Spark
    , and
    PySpark
    .
  • Deep understanding of
    data lakes
    ,
    Delta Lake
    , and
    lakehouse architecture
    .
  • Proficiency with
    streaming frameworks
    such as
    Kafka
    or
    Kinesis
    .
  • Experience with
    Airflow
    or other orchestration tools.
  • Familiarity with
    MLflow
    ,
    TensorFlow
    , or
    PyTorch
    for data-to-AI workflows.
  • Cloud expertise in
    AWS (Glue, Redshift, Sagemaker)
    ,
    Azure (Data Factory, Synapse, ML Studio)
    , or
    GCP (Dataflow, Vertex AI, BigQuery)
    .

Education:

  • Bachelor's or Master's in Computer Science, Data Science, or related technical discipline.
  • Excellent communication, presentation, and mentoring skills.
  • Prior experience as a
    corporate trainer, instructor, or mentor
    in a data/AI-focused program is preferred.
  • Ready to
    deliver on-site and virtual training
    .

Preferred Skills/Attributes:

  • Certifications such as:
    Databricks Certified Data Engineer or Machine Learning Professional
  • AWS Certified Machine Learning – Specialty
  • Google Professional Data Engineer / ML Engineer
  • Familiarity with
    AI model lifecycle management
    ,
    feature stores
    , and
    MLOps best practices
    .
  • Demonstrated ability to
    bridge data engineering and AI/ML domains
    .
  • Passion for teaching, mentoring, and simplifying complex, end-to-end data and AI systems.

Equal Opportunity Employer :

Revature ("Company") is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.

We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.

Note:
Work authorization in the country you are applying to is required. Revature does not sponsor work visas