Senior Data Engineer

hace 4 días

Remote Guatemala Remote Allied Technology Services A tiempo completo Q60,000 - Q120,000 al año

#FastGrowingCompany #GreatPlaceToWork

As you should already know, the technology industry is constantly growing, today more than ever This is why we are always in search of the best tech talent in Latin America to integrate multidisciplinary, multicultural teams all over the world.

As a #PeopleFirst company, we will care about you. That's why we want you to join the #AlliedExperience and upgrade your career, we have excellent benefits, with a comfortable and modern work culture, where you can develop to the fullest.

Important -  80% of English is a must.

We're Hiring: Senior Data Engineer

Location: Remote from LATAM
Type: Full-Time
Experience: 7–8+ Years

We are looking for an experienced Senior Data Engineer to join our team and help drive the next evolution of our industry-leading, SaaS-based incentive management platform. If you thrive in complex data environments, enjoy designing scalable architectures, and love building high-performing data systems, this role is for you.

What You'll Be Doing
  • Develop high-quality, testable, and scalable code to support data applications and platform enhancements.
  • Play a key role in building new modules and improving core features of our SaaS incentive management platform.
  • Design, implement, and maintain robust data architectures — including data marts, data warehouses, and data lakes.
  • Build, optimize, and manage ELT/ETL pipelines across internal and external data systems for the broader data organization.
  • Leverage a wide range of AWS services to develop efficient data storage and processing solutions.
  • Work in an Agile environment, assisting in requirement gathering, effort estimation, and delivering high-performing solutions.
  • Document data engineering processes, standards, and best practices.
  • Ensure compliance with organizational security policies and data handling procedures.
What Skills Are Needed
  • 7–8+ years of hands-on data engineering experience, with strong expertise in data warehouses, data marts, and data lakes.
  • Deep experience with:
    • SSIS, AWS Glue, DMS, Redshift, Step Functions, S3, Athena, Kinesis
    • Designing and delivering scalable data pipeline solutions.
  • Proficiency using GitHub for version control and collaborative development.
  • Experience with TeamCity or GitHub Actions for build automation and CI.
  • Familiarity with infrastructure-as-code tools such as Terraform and Jenkins.
  • Strong command of the AWS CLI for managing and automating cloud operations.
  • Solid programming experience with Python and PySpark for data processing.
  • Strong SQL skills and understanding of database systems and data modeling.
  • Ability to troubleshoot, optimize, and fine-tune data workflows.
  • Excellent problem-solving abilities with strong attention to detail.
  • Strong communication and collaboration skills for working within cross-functional teams.
  • Knowledge of networks, algorithms, data structures, RDBMS, OOP, and design patterns.

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