DataRobot is looking for a Senior Data Engineer to build out data infrastructure to help organizations around the globe with AI-enabled analytics. In this role, candidates will design and develop data products, work with teams, and utilize cloud warehouses and ETL pipelines, and DevOps to deploy enterprise-wide data solutions that are scalable and of the highest quality.
Location: Remote (India)
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Collaborate with individuals both within the organization and customers to understand their data needs and develop solutions that will allow further scalability.
Design, develop, and maintain ETL pipelines, data marts, and an indirect cloud foundation for Snowflake Datawarehouse and the tax AWS ecosystem utilizing Airflow and DBT.
Collaborate with data and analytics specialists to co-develop and build models and metrics designed to enable and underpin advanced and AI analytics initiatives.
Monitor and support deployment of solutions with regard to data quality and integrity and availability of deployed data.
Design, develop, and deploy data pipelines with a real-time streaming data solution with distributed data streams tools such as spark, Kinesis, or Firehose.
Partner with IT and engineering teams to connect applications that have enterprise-level analytics.
A bachelor's degree in a technical or engineering field (preference given to master's degree).
5-7 years of experience in engineering or position with an analytics focus.
Experience with SQL, Python, and data warehousing concepts.
Preferable experience working with cloud service providers (AWS, Azure, GCP).
Experience with DevOps workflows (i.e. DBT, GitHub, Airflow) and/or infrastructure-as-code (e.g. Terraform, CloudFormation).
Experience with real-time streaming technology and scalable data pipelines.
Strong communications skills in cross-organization settings with both technical and business parties.
AWS certification is a plus.
DataRobot powers the future of enterprise AI, allowing organizations to turn data into real time actionable insights. DataRobot’s platform, combines automation of machine learning and generative AI workflows, therefore allows organizations to make smarter decisions, reduce risk and provide true, real life impact. DataRobot allows AI to live in practice, at scale and is accessible to all teams, and industries.