About the Role:
This is a challenging opportunity for an experienced Data Engineer to design, build, and maintain large-scale data systems. As part of our collaborative environment, you will work closely with data architects, data scientists, and other stakeholders to ensure that the entire data systems meet the needs of our business.
Key Responsibilities:
* Design, build, and maintain large-scale data systems.
* Design and implement data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake.
* Develop and maintain data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue.
* Develop and maintain data lakes using tools such as Apache Hadoop, Apache Spark, and Amazon S3.
* Work 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.
* Ensure data quality and integrity by developing and implementing data validation and data cleansing processes.
* Collaborate with other teams to ensure that data systems meet the business's needs.
Qualifications:
* A bachelor's degree in Computer Science, Engineering, or a related field.
* 5+ years of experience in data engineering or a related field.
* 2-4 years of experience in Ruby products, including Ruby on Rails framework.
* 5+ years of experience with programming languages such as Python, Java, and Scala.
* 3+ years of 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.
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.
Job Requirements:
The ideal candidate will have strong experience with data warehousing and data lakes, as well as strong collaboration and communication skills. A strong understanding of data modeling and data architecture is also essential. We are looking for a team player who can work collaboratively with data architects, data scientists, and other stakeholders to ensure that the entire data systems meet the needs of our business.
Working Environment:
This is a fully remote opportunity with the potential to become a permanent position. The successful candidate will be working independently and collaboratively as part of a distributed team.
Contact Information: