Senior Product Data Analytics
Sao Paulo
Adyen
End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.This is Adyen
We took an unobvious approach to starting a payments company, building a platform from scratch. Today, we're the payments platform of choice for the world's brightest companies. Speed is the foundation of our company. We think fast. We work fast. We launch fast. We are honest, direct, and try to have some fun too. We’re creating our own path, with a global team driving sustainable growth. To maintain our momentum, we need people to join us in finding new ways of solving our unique challenges - people like you.
Product Analytics / Analytics Engineering
At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for an Analytics Engineer to join our team, a person that understands the business context and the data needs behind it, and knows how to implement quality data pipelines on our Big Data Platform. Your pipelines will fuel stunning visuals, reports, and raw or refined datasets for internal or external use. You will be responsible for creating performant and high-quality ETL/ELTs and ensuring users have access to correct, accurate and performant data and insights.
This role requires a blend of skills including an analytical mindset, operational acumen, initiative management, creativity, and an overall desire to be an accelerator for our business.
This role is based in our São Paulo office and will report to the Data & Strategy team lead
Analytics Engineer
What You’ll Do
- Work with product teams, product specialists and data analysts, analyzing their data and transcribing their data needs that render into data pipelines.
- Design, develop, deploy and operate production ETL/ELT pipelines in PySpark.
- Build data products and tooling according to quality principles such as performance, code quality, data validation, data governance and discoverability.
- Establish and spread data analytics best practices across the organization.
- Organize data analytics related training sessions.
- Develop linters and other tooling bespoke to Adyen to help ensure a high-quality pipeline codebase
Who You Are
- You have experience building ETLs/ELTs, ideally in PySpark and Airflow.
- You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business.
- You have a good understanding of Software Engineering practices and Data Engineering principles.
- You are able to communicate complex outcomes with clarity over a wide range of audiences.
- Technology- Python and SQL are a must.
- Mentality- An experimental mindset with a launch fast and iterate mentality
- Fluent in conversational and written English on a professional level.
- Ability to operate comfortably within a complex global environment
- Strong quantitative / detail-oriented background;
It Is a Strong Plus Skills If You Have (not required for position, but it is nice to have):
- Related experience in Payments industry (card schemes, card issuers or acquirers);
- Knowledge of Python & Spark or Scala & Spark
Our Diversity, Equity and Inclusion commitments
Our unobvious approach is a product of our diverse perspectives. This diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. Our business and technical challenges are unique, we need as many different voices as possible to join us in solving them - voices like yours. So no matter where you’re from, who you love, or what you believe in, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does it sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application.
Who We Are
Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile and in-store channels. It is the only provider of a modern end-to-end infrastructure, connecting directly to Visa, Mastercard, and consumers' globally preferred payment methods. With offices around the world, Adyen serves nine of the 10 largest U.S. internet companies and many worldwide retailers. Customers include Facebook, Uber, L'Oreal, Casper, Bonobos, and Spotify.
Ready to meet us?
If you are excited about this role, apply by clicking the below link. We can’t wait to meet you!
Tags: Airflow Big Data Data Analytics Data governance Data pipelines ELT Engineering ETL Pipelines PySpark Python Scala Spark SQL
Perks/benefits: Startup environment
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