Senior Big Data Software Engineer (AWS + Databricks)
Softserve
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- Ubicación
- Remoto (países elegibles no informados)
- Modalidad
- Remoto
- Jornada
- Jornada completa
- Publicado
- 6 nov
La fuente no informa: contrato, experiencia, sueldo, cierre.
Resumen
- Design, develop, and maintain scalable batch and distributed data processing pipelines to support reliable data processing and integration
- Build and optimize data processing solutions, taking ownership of performance, reliability, scalability, and cost efficiency across data pipelines
- Collaborate with engineering, AI, and product teams to understand requirements and support analytics, automation, and AI-enabled use cases
- Develop data solutions using Python, SQL, Apache Spark, Databricks, and AWS services such as AWS Glue, Amazon Athena, and Amazon Aurora
- Work with relational…
Requisitos y detalle del puesto
- Strong experience in Big Data, Data Engineering, or related fields, with 5+ years of professional experience
- Strong proficiency in Python and SQL, with Java experience considered a plus
- Strong hands-on experience with Apache Spark, distributed data processing, and Databricks
- Solid experience developing data solutions on AWS using services such as AWS Glue, Amazon Athena, and Amazon Aurora
- Practical experience working with relational databases such as PostgreSQL and MySQL
- Familiarity with workflow orchestration technologies such as Apache Airflow and streaming technologies such as Apache Kafka
- Solid experience with CI/CD, version control, and Infrastructure as Code using Terraform or similar technologies
- Familiarity with GenAI, MLOps, machine learning workflows, or AI platform integrations is considered a plus
- Upper-intermediate or higher English proficiency for collaboration across teams
Dónde postular
- Get on Board ↗ · visto por primera vez el 6 nov
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