Senior Data Engineer (Databricks Focus)
Scale Up Recruiting Partners
Fecha: hace 2 días
ciudad: Rosario, Santa Fe
Tipo de contrato: Tiempo completo

Title: Senior Data Engineer (Databricks Focus)
Location: Remote – LATAM candidates encouraged to apply
We are hiring a Senior Data Engineer for one of our clients, an innovative global company that builds impactful digital solutions. They are looking for someone with strong hands-on experience in Databricks and a solid background in building and optimizing data pipelines and architectures.
This is a long-term remote opportunity working with an international and collaborative team on cutting-edge data projects.
What You’ll Be Doing
Location: Remote – LATAM candidates encouraged to apply
We are hiring a Senior Data Engineer for one of our clients, an innovative global company that builds impactful digital solutions. They are looking for someone with strong hands-on experience in Databricks and a solid background in building and optimizing data pipelines and architectures.
This is a long-term remote opportunity working with an international and collaborative team on cutting-edge data projects.
What You’ll Be Doing
- Design and build scalable data pipelines using Databricks, Apache Spark, and modern ETL frameworks.
- Work with structured and unstructured data from relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
- Develop and maintain data models using tools like ER/Studio or IBM Data Architect.
- Implement and optimize data warehousing solutions like Amazon Redshift or Snowflake.
- Collaborate on real-time data integration using Apache Kafka, Apache Flink, and Azure Data Factory.
- Ensure data security and access control with tools such as Apache Ranger and HashiCorp Vault.
- Work closely with analytics teams to enable data visualization with tools like Tableau, Power BI, or Looker.
- Use Jira, Confluence, and Git for task management and documentation.
- Follow software engineering best practices using SQL, Python, and optionally R.
- 5+ years of experience in data engineering or similar roles.
- Proven experience with Databricks (must-have).
- Strong background in data modeling, ETL development, and pipeline optimization.
- Experience with Apache Spark, big data technologies, and cloud platforms (preferably AWS).
- Proficiency in SQL and at least one scripting language (Python or R).
- Ability to thrive in fast-paced, cross-functional, and remote environments.
- Advanced English communication skills.
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