Full-Time

Data Analyst

Posted on 5/7/2024

Astronomer

Astronomer

201-500 employees

Managed Airflow service for data pipelines


Mid

San Francisco, CA, USA

Required Skills
Python
Airflow
SQL
Salesforce
Data Analysis
Requirements
  • Data engineering and ETL/ELT experience in a production environment
  • SQL experience
  • Python fluency
  • Strong analytical and problem-solving skills
  • Excellent interpersonal and communication skills
Responsibilities
  • Orchestrate pipelines that perform ETL, reverse ETL, business processes, data quality checks, and operational analytics
  • Work with a huge variety of different data sets
  • Automate business operations with a combination of Airflow and product integrations from platforms including Salesforce, Zendesk, and Stripe
  • Collaborate with stakeholders to translate business requirements into actionable analytics
  • Drive the development of a data orchestration and ETL/ELT framework for internal business operations and analytics
  • Provide regular feedback to product and engineering teams
  • Develop tools and Airflow extensions to assist internal teams and the greater Apache Airflow community

Astro, provided by Astronomer, is a managed Airflow service that simplifies the management and monitoring of pipelines-as-code, featuring a scheduler, interfaces for writing DAGs, and robust support. Powered by Apache Airflow, Astro is globally utilized to enhance the availability of reliable data, making it easier for data teams to run Airflow with less overhead and ensuring the reliability and scalability of data pipelines.

Company Stage

Series C

Total Funding

$279.4M

Headquarters

New York, New York

Founded

2018

Growth & Insights
Headcount

6 month growth

8%

1 year growth

3%

2 year growth

-2%