Solutions Engineer working with Apache Airflow and Astronomer’s unified DataOps platform. Engaging with customers to deliver data solutions and optimize workflows across environments.
Responsibilities
You'll be able to speak to and deliver solutions around Apache Airflow and the Astronomer platform.
You'll interact with customers and partners to ensure successful Airflow implementation post-sales.
You'll be a trusted advisor and help architect data pipelines across all types of environments and use cases.
You'll have the opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of contributors.
Maintain and continuously improve your technical expertise.
Work with customers to educate and guide them regarding Airflow best practices.
Collaborate with team members to design, prototype, and implement engineering solutions for internal and external use.
Act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements through client interactions and relaying these recommendations back to the Product team.
Review and optimize customer data workflows and Airflow system configurations for improved performance.
Requirements
3-5 years of data-engineering experience, working with Apache Airflow in production environments
Experience creating DAGs, writing Python, and building Airflow custom operators and hooks
Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines
Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions
Empathetic, driven and team-oriented
Great prioritization skills and ability to execute on customer-facing activities
A strong verbal and written communicator interacting with assigned customers over a variety of mediums (slack, email, knowledge transfer, and pair programming sessions).
Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers
Experienced with Production implementation of ETL/ELT processes using Modern Data Stack (Bonus points)
Experience building and maintaining CI/CD pipelines (Bonus points)
Experience working on short and long-term Customer engagements (Bonus points)
Experience with infrastructure tools like Docker and Kubernetes (Bonus points)
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