10 дней назад
Data Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Spark/AWS): Building and maintaining reliable data pipelines, ETL/ELT workflows, and analytics data models with an accent on distributed data systems, data quality, and cloud-based data platforms. Focus on shaping data lakehouse architecture, optimizing pipeline performance, expanding test coverage, and supporting trusted datasets for software security outcomes.
Location: Colombia — Remote
Company
develops software security solutions supported by cloud-first, open-source-friendly data platforms.
What you will do
- Build and maintain reliable data pipelines and ETL/ELT workflows.
- Develop and optimize data models for analytics and internal tools.
- Support data platform tools including Spark and AWS services such as S3, SNS, SQS, ECS/Fargate, and EMR.
- Monitor pipeline quality, performance, and reliability while improving documentation and test coverage.
- Contribute to CI/CD processes and help shape data lakehouse architecture and the platform roadmap.
Requirements
- 2–4 years of experience in data engineering or a backend data-related role.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong skills in Java, Scala, or another backend programming language, plus Python with PySpark or pandas.
- Experience with SQL, distributed data systems such as Spark, Kafka, or SQS, and NoSQL stores such as Cassandra or HBase.
- Understanding of data modeling for analytics and reporting.
- Proficient English and strong communication skills required; reliable internet is needed for video, audio, and screen sharing.
Nice to have
- Experience with dbt, Databricks, or real-time data pipelines.
- Familiarity with Terraform or CloudFormation.
- Interest in data governance, ML pipelines, or compliance standards.
- Personal projects or open-source contributions demonstrating initiative.
Culture & Benefits
- Work on data supporting software security outcomes.
- Use modern tools in a cloud-first, open-source-friendly environment.
- Work in a team that values clarity, learning, autonomy, feedback, and continuous improvement.
- Use AI-assisted engineering tools such as Claude Code, Codex, or Cursor in the daily workflow.
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