Web https://twitter.com/genpact, https://twitter.com/Genpact_Careers Genpact

Global professional services firm that transforms business.

This role will be working from Costa Rica for an important and recognized global company from the sports industry, located in USA.


  • Design and build reusable components, frameworks and libraries at scale to support analytics products.
  • Design and implement product features in collaboration with business and Technology stakeholders.
  • Identify and solve issues concerning data management to improve data quality.
  • Clean, prepare and optimize data for ingestion and consumption.
  • Collaborate on the implementation of new data management projects and re-structure of the current data architecture.
  • Implement automated workflows and routines using workflow scheduling tools.
  • Build continuous integration, test-driven development and production deployment frameworks.
  • Collaboratively review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
  • Analyze and profile data for designing scalable solutions.
  • Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.



  • Strong understanding of data structures and algorithms.
  • Strong understanding of solution and technical design.
  • Has a strong problem solving and analytical mindset.
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders.
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Advanced experience building cloud scalable, real time and high-performance data lake solutions.
  • In-depth understanding of micro service architecture.
  • Strong understanding of developing complex data solutions.
  • Experience working on end-to-end solution design.
  • Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions.
  • Willing to learn new skills and technologies.
  • Has a passion for data solutions.

Required and Preferred Skill Sets:

  • Bachelor’s degree in IT or related field.
  • 5-8 years experience as Data Engineer.
  • Advanced English level (C1).
  • 1 -2 years of hands-on experience in AWS – EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud; Ability to solve complex problems
  • 1-2 years of hands-on experience Spark Batch Processing and some familiarity with Spark Structured Streaming; Ability to solve complex issues
  • 2-3 years of hands-on experience with SQL, ETL, data transformation and analytics functions; Ability to solve complex problems
  • 2-3 years of hands-on Python experience including Batch scripting, data manipulation, distributable packages; Ability to solve complex problems.
  • Familiarity with Agile; working experience preferred


  • 1-2 years’ experience working experience with Hadoop stack dealing huge volumes of data in a
    scalable fashion.
  • 2-3 years’ experience working with batch orchestration tools such as Apache Airflow or
    equivalent, preferable Airflow.
  • 2-3 years working with code versioning tools such as GitHub or BitBucket; expert level
    understanding of repo design and best practices
  • 2-3 years working with deployment automation tools such as Jenkins and familiarity with
    containerization concepts such as Docker and Kubernetes
  • 2-3 years of hands-on experience designing and building ETL pipelines; expert with data ingest,
    change data capture, data quality; hand on experience with API development; some exposure to
    Nifi or Kafka
  • 2-3 years designing and developing relational database objects; knowledgeable on logical and
    physical data modelling concepts; some experience with Snowflake
  • Preferred 1+ years of experience supporting Tableau or Cognos use cases.

Apply: https://genpact.avature.net/su/57d1adc4bb266217

Para solicitar este trabajo envía un correo electrónico con tus detalles a maria.fernandez@genpact.com