Data Platforms Engineer

2 days ago


Warszawa, Mazovia, Czech Republic Asana Full time
About Asana

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster.

Job Description

We're looking for a senior software engineer with experience in infrastructure and operations and a strong interest in big data systems. You will work with a world-class team of engineers on deploying and operating existing systems, and building new systems to meet the unique challenges of Asana's data platforms.

The Data Infrastructure team builds the infrastructure responsible for consuming, exposing, and creating product and product-derived datasets. Our team owns the pipelines that transport and process database data from all of Asana's product surfaces. We build and operate the infrastructure and services that ensure data accuracy and data availability for stakeholders in Data Science, Business, and Product teams.

Main Responsibilities
  • Design and implement tooling and automation for data access, scalability, monitoring and alerting, and privacy
  • Evangelize good code and solid engineering and operability practices
  • Co-create and follow best practices of running data applications in the cloud (AWS) and all the state-of-the-art tooling around it
  • Support design reviews, communicate constraints, and help engineers make the right trade-offs
  • Keep our data platform up and running by being part of our data infra on-call rotation (within working hours)
Requirements
  • Expertise in programming, distributed systems design, and infrastructure
  • Experience building and operating scalable, reliable, and highly-available services
  • 4+ years designing and implementing production code for backend, infrastructure, and/or data systems
  • 2+ years mentoring/coaching other team members on design and execution of projects
  • Eagerness to collaborate with different roles and functions across Asana with a keen sense of empathy
  • Good command of Python and SQL
  • Familiarity with distributed data processing systems (e.g. Spark, Databricks, Snowflake or similar systems)
  • Expertise in AWS services (e.g. IAM, S3) and with infrastructure-as-code tooling (e.g. Terraform)
Benefits
  • Generous compensation system
  • Health insurance with dental and travel coverage (Lux Med)
  • Meals reimbursement on the days that you work from the office
  • Career growth budget
  • Home office setup budget
  • Gym/Fitness reimbursement
  • Fertility healthcare and family-forming support with Carrot
  • Mental health support in Modern Health
  • Group life insurance
  • MacBooks with all necessary accessories


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