Solutions Engineer providing expertise in Apache Airflow while working remotely in Canada. Engaging with customers to develop and optimize data solutions across environments.
Responsibilities
Speak to and deliver solutions around Apache Airflow and the Astronomer platform.
Interact with customers and partners to ensure successful Airflow implementation post-sales.
Act as a trusted advisor and help design and develop data pipelines across all types of environments and use cases.
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.
Review and optimize customer data workflows and Airflow system configurations for improved performance.
Requirements
3-5 years of data-engineering experience, ideally 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.
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