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title: senior data engineer (databricks focus)
location: remote – latam candidates encouraged to apply
we are hiring a
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
* 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.
what we’re looking for
* 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.
if you are passionate about building robust data infrastructure and want to work on innovative projects, we’d love to hear from you!
seniority level
* seniority level
mid-senior level
employment type
* employment type
full-time
job function
* job function
information technology
* industries
software development
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