An Exciting Opportunity in Data Engineering
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We are seeking a skilled Data Engineer to join our team and contribute to the design, development, and maintenance of large-scale data systems.
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About the Role
* Design and implement data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue.
* Develop and maintain data warehouses using tools like Amazon Redshift, Google BigQuery, and Snowflake.
* Create scalable automated testing solutions using Ruby/Selenium-based frameworks.
* Work closely with data architects to design and implement data models and data architectures.
* Collaborate with data scientists to develop and deploy machine learning models and data products.
Key Responsibilities
* Design and build large-scale data systems, including data pipelines, data warehouses, and data lakes.
* Implement data validation and cleansing processes to ensure data quality and integrity.
* Stay up-to-date with new technologies and trends in data engineering and make recommendations for adoption.
Requirements
* 5+ years of experience in data engineering or a related field.
* 2-4 years of experience in Ruby programming, including the Ruby on Rails framework.
* Strong experience with data modeling and data architecture.
* 3+ years of experience with data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake.
* Bachelor's degree in Computer Science, Engineering, or a related field.
Nice to Have
* Experience with machine learning and data science.
* Experience with cloud-based data platforms such as AWS, GCP, or Azure.
* Experience with containerization using Docker and Kubernetes.
* Experience with agile development methodologies such as Scrum or Kanban.
What We Offer
A fully remote opportunity with the potential to become a permanent position. Collaborative environment with opportunities to work closely with data architects, data scientists, and other stakeholders.
Location
Remote from Brazil (Eastern Time Zone)
No. of Positions
1
Position Type
Contract
Position: Data Engineer
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