Data Engineers play a vital role in designing, building, and maintaining large-scale data systems. We are seeking a skilled professional to join our team and help us build and maintain the data infrastructure.
The successful candidate will be responsible for designing, building, and maintaining data pipelines, data warehouses, and data lakes. They 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.
Requirements:
* 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
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
* Experience with data governance and data security