Data Engineer with Airflow

1300 - 1550 PLN/ dzień./ dzień.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#469759·Dodano 7 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

Apache Airflow Python Kubernetes

Podsumowanie oferty

Support customers in building, operating, and optimizing data pipelines, advising data engineering teams and helping them adopt the platform. The role focuses on Apache Airflow and Python, including configuration, DAG development, and troubleshooting.

Wymagania

Strong hands-on knowledge of Apache Airflow, including DAG development, scheduling, and operational concepts.
Professional experience with Python.
Experience supporting or advising data engineering teams in a customer-facing technical role.
Ability to troubleshoot distributed systems and production issues.
Excellent communication skills and a customer-oriented mindset.
Ability to work independently in a fully remote, distributed environment.

Nice to have:

Practical knowledge of Kubernetes and containerized environments.
Experience with managed cloud services.
Familiarity with modern data stack technologies such as Snowflake and dbt.
Experience delivering technical workshops, training, or enablement sessions.
Production experience with Airflow administration.
Exposure to Infrastructure as Code tools such as Terraform.
Familiarity with SQL and analytical data workflows.
Background in technical support, platform engineering, or reliability engineering.
Experience supporting enterprise customers during onboarding and platform adoption.

Obowiązki

Support customers with Apache Airflow configuration, DAG development, scheduling, and troubleshooting.
Advise data engineering teams on designing and operating reliable workflows.
Help integrate Airflow with existing data ecosystems, including cloud data warehouses, transformation tools, and infrastructure-as-code solutions.
Support customers during platform onboarding, adoption, and production implementation.
Investigate complex Airflow-related issues and guide customers toward stable, reliable solutions.
Help identify root causes of production issues across distributed systems.
Deliver technical guidance and support customers in getting the most out of the platform.
Collaborate with internal stakeholders to coordinate project scope, track progress, and align on priorities.

DCV Technologies

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