Data Engineering Solutions Expert
20 hours ago
Astronomer's industry-leading, orchestration-first DataOps platform empowers data teams to build reliable data products. Powered by Airflow, this platform accelerates unlocking insights, unleashing AI value, and driving data-driven applications.
We're a globally-distributed team of learners, innovators, and collaborators. Our mission is to empower data teams to bring mission-critical analytics, AI, and software to life. As part of our team, you will be at the forefront of the industry as we strive to deliver the world's data.
About This Role:As a Solutions Engineer, you will be part of the Global Services Delivery Team and will be involved in delivering various use cases where Airflow is implemented across our customers. These organizations range from seed-stage startups to Fortune 500 enterprises. Although these organizations are in different phases of their data journey, they all can benefit from your expertise as a Solutions Engineer to implement Apache Airflow in a manner that follows best practices and allows continued growth.
You will come to have a deep understanding of both Apache Airflow and Astronomer Products. Every Solutions Engineer will grow to become an Airflow expert and a trusted advisor to organizations looking to put their data in motion.
This role features a flexible hybrid work model, working at least 3 days per week while delivering a seamless experience that is digitally and physically connected.
Key Responsibilities:- Maintain and continuously improve technical expertise. Become a trusted expert in both Airflow and Astronomer's managed Airflow Platform. Stay up-to-date with the latest releases and features while focusing on those that have a greater impact on customers.
- Work with customers to educate and guide them regarding Airflow best practices. Perform Airflow code refactoring assessments as a trusted expert for new and existing customers.
- 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.
- 3-6 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.
- 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.
- Experience building and maintaining CI/CD pipelines.
- Experience working on short and long-term Customer engagements.
- Experience with infrastructure tools like Docker and Kubernetes.
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