5 дней назад
SR Data Engineer (AWS)
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
SR Data Engineer (AWS) (Python/SQL/Spark): Building and optimizing high-throughput batch and streaming data platforms for large volumes of financial and transactional data with an accent on lakehouse architectures, AWS services, data quality, and DataOps. Focus on designing low-latency pipelines, implementing real-time streaming and governance frameworks, and mentoring data engineers.
Location: Remote; candidates must reside exclusively in Argentina, Brazil, or Uruguay.
Employment type: Contract
Company
designs and delivers scalable digital solutions for global companies, leading complex software initiatives from end to end.
What you will do
- Design, build, and maintain high-throughput, low-latency batch and streaming pipelines for financial transactions.
- Scale and optimize cloud data warehouses and lakehouse architectures for structured and unstructured data.
- Collaborate with Data Scientists, Software Engineers, and Product Managers to deliver reliable data solutions.
- Implement data quality frameworks, automated testing, monitoring, alerting, and SLA-focused reliability practices.
- Drive DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code.
- Establish data governance, privacy, and security standards, and mentor 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.
- Strong expertise in AWS data services, including S3, Glue, Athena, EventBridge, Firehose, and Lambda.
- Experience with Apache Airflow or similar orchestration tools, Snowflake, Redshift, BigQuery, Kafka or Kinesis, and dbt.
- 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.
- Experience with Databricks and advanced cloud lakehouse architectures.
- Knowledge of GDPR/LGPD, data privacy, governance, and security frameworks.
- Experience with Terraform, advanced DataOps automation, mentoring, or technical architecture.
Culture & Benefits
- 100% remote work with a long-term commitment and significant autonomy.
- 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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