Remote Data Engineer Position
This is a unique opportunity to work as a Data Engineer in a collaborative environment and help build and maintain the data infrastructure. The successful candidate will be responsible for designing, building, and maintaining data systems, including data pipelines, data warehouses, and data lakes.
* The ideal candidate will have experience with programming languages such as Python, Java, and Scala.
* They will also have strong knowledge of data modeling and data architecture, as well as experience with data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake.
* The role requires close collaboration 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.
* 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.
* Stay up-to-date with new technologies and trends in data engineering and make recommendations for adoption.
Required Skills and Qualifications:
* 5+ years of experience in data engineering or a related field.
* 2 - 4 years of experience in Ruby products, including Ruby on Rails framework.
* Strong experience with data warehousing and data lakes.
* Strong experience with data validation and data cleansing.
* Strong collaboration and communication skills.
* 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.
This is a fully remote opportunity with the potential to become a permanent position. We thank all candidates in advance. Only selected candidates for interviews will be contacted.