5 часов назад
Senior 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
Senior Data Engineer (Python/SQL/AWS/Spark): Design and optimize scalable data platforms and high-throughput batch and streaming pipelines for large volumes of financial and transactional data with an accent on lakehouse architectures, data quality, and production reliability. Focus on building real-time processing systems, implementing DataOps and Infrastructure as Code, and enforcing governance, privacy, and security across cloud data infrastructure.
Location: Remote, based in Buenos Aires, Montevideo, Porto Alegre, Rosario, Maldonado, Rio de Janeiro, or Fortaleza
Company
designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset to lead complex software initiatives end-to-end.
What you will do
- Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines for financial and transactional data.
- Design, scale, and optimize cloud data warehouse and lakehouse architectures for structured and unstructured data.
- Collaborate with Data Scientists, Software Engineers, and Product Managers to deliver reliable, scalable data solutions.
- Implement data quality frameworks, automated testing, monitoring, alerting, and SLA-focused reliability practices.
- Drive DataOps adoption through CI/CD, workflow automation, and Infrastructure as Code.
- Promote data governance, privacy, security, and GDPR/LGPD compliance while mentoring junior and mid-level Data Engineers.
Requirements
- 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles.
- Strong Python and SQL skills for complex data processing, optimization, and software development.
- Hands-on experience with Apache Spark/PySpark, Delta Lake, lakehouse architectures, and Data Mesh principles.
- Expertise in AWS data services, including S3, Glue, Athena, EventBridge, Firehose, and Lambda.
- Experience with Airflow or similar orchestration tools, data warehouses such as Snowflake, Redshift, or BigQuery, and streaming technologies such as Kafka or Kinesis.
- Advanced English proficiency is required for technical and non-technical communication.
Nice to have
- Experience in fintech, payments, e-commerce, or other high-growth technology environments involving financial or regulated data.
- Databricks and advanced cloud lakehouse architecture experience.
- Knowledge of GDPR/LGPD, data governance, security frameworks, Terraform, and advanced DataOps automation.
- Experience mentoring Data Engineers or contributing to technical architecture decisions.
Culture & Benefits
- 100% remote work.
- Long-term engagement with autonomy and meaningful impact.
- Strategic, high-visibility role within a modern engineering culture.
- Collaborative international team with strong technical leadership.
- Career development and growth opportunities within .
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