Data Engineer II
Ciudad de México, Mexico
Etsy
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Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
As a member of our Data Applications team, you’ll help us build and maintain tools and infrastructure to write, test, and schedule data warehouse jobs in Big Query. Your work will enable other developers, data scientists, and analysts to write the high-performing pipelines that power data science, machine learning, and product development at Etsy.
We primarily write in Scala, Java, and Python and use technologies like Hadoop, Spark, Airflow, Terraform, and Kubernetes, as well as GCP services like Dataproc, Dataflow, and BigQuery.
This is a full-time position reporting to the Engineering Manager, Warehouse and Insights team. For this role, we are considering candidates based in Mexico who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
We build highly-performant systems that are maintainable and easy to understand by selecting and integrating with the best of current technologies.
We develop robust, highly available, well-monitored data infrastructure.
We stay in close communication with our internal customers and make strategic improvements to ensure those that depend on us have a great experience using data.
What does the day-to-day look like?
You should have experience building data processing platforms, supporting them at scale, and collaborating with other teams that depend on them.
Experience building applications and managing infrastructure using one of the major cloud providers is preferred but not required.
We value curiosity, passion, responsibility, and generosity of spirit.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
You understand that being an effective software engineer is about communicating with people as much as it is about writing code.
You are generous with your time and experience and can mentor and learn from other engineers.
Strong Data Warehousing skills
SQL proficiency
Writing ETL pipelines
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery Dataflow Dataproc Data warehouse Data Warehousing Engineering ETL GCP Hadoop Kubernetes Machine Learning Pipelines Python Scala Spark SQL Terraform
Perks/benefits: Career development Equity Flex hours
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