Overview
An exciting opportunity is available for a Data Engineer to join 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. 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.
This is a fully remote opportunity with the potential to become a permanent position.
Skill Set
* Designing and implementing large-scale data systems
* Designing and implementing data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake
* Designing and implementing scalable automated testing solutions using Ruby/Selenium-based frameworks
* Developing and maintaining data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue
* Developing and maintaining data lakes using tools such as Apache Hadoop, Apache Spark, and Amazon S3
* Working with data architects to design and implement data models and data architectures
* Collaborating with data scientists to develop and deploy machine learning models and data products
* Ensuring data quality and integrity by developing and implementing data validation and data cleansing processes
* Collaborating with other teams to ensure that data systems meet the business's needs
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
* 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
* 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