Summary

Job Description: You will be responsible for managing, securing, and scaling our ETL infrastructure in AWS and GCP. You will also provide development support for various backend systems such as our CMS/API and ETL data pipeline.   An effective Data Engineer should be able to effectively communicate with the Product & Engineering team while developing/maintaining ETL pipelines that support our data and analytics product efforts. The ideal candidate must be able to prioritize tasks and complete them in a timely manner.   Key responsibilities

• Collaborate with our engineers, researchers, executives, and designers to develop new data capabilities using database systems (SQL, PostgreSQL) and data warehousing solutions within AWS and GCP.
• Process unstructured data into structured and clean data.
• Collaborate with our DevOps and Research teams to leverage ETL systems to help users analyze data relevant to a specific business problems.
• Utilize data APIs to enable data scientists and analysts to query important data.
• Maintain the security and health of our data pipelines.
• Conduct code reviews and engage in pair programming within the Agile Development lifecycle.
• Contribute to CMS development and other backend systems using PHP and/or Python.
• Work with MWAA (Airflow) and Redash.

• 7 or more years experience in data pipeline engineering.
• Familiarity with programming languages such as Python and Scala.
• Knowledge about source control software such as git.
• Knowledge of the workings of Redis, Redshift, and BigQuery.
• Experience in Business Intelligence products such as Google Data Studio, Looker, Domo, or Tableau.
• Experience using development environments such as Docker, Vagrant, Virtual Box or similar platform.
• Knowledge of algorithms and data structures to support data filtering and data optimization.
• Strong familiarity with Unix / Linux operating systems and general command-line knowledge.
• Knowledge of digital assets, crypto, and blockchain technologies.

• Experience with CI/CD tools to support developer lifecycle.
• Collaborate with our engineers to build and maintain infrastructure required for feature development.
• Provide development support for CMS and other backend systems.
• Familiarity managing data pipelines in cloud infrastructure in AWS or other cloud providers (Azure, GCP.)
• Familiarity with AWS infrastructure suite (ECS, Elasticache, RDS, ALB, EC2, IAM, Cloudsearch) or other distributed systems.
• Familiarity managing resources with IaC tools such as Terraform, Ansible, Puppet, or Chef.
• Knowledge of building Docker images.
• Industry-standard certifications.
• Experience with the Atlassian suite.
• Proficiency in scripting.

Skills

• AWS
• Data Structures
• Database Management
• Python