Data Infrastructure Engineer
Tel Aviv, Israel
Wix
Create your website and grow with confidence. From an intuitive website builder to advanced business solutions & powerful SEO tools—Try Wix for free.Company Description
Wix makes it possible for anyone to succeed online. Since 2006, we've grown to 5,000 employees in 17 countries, launched over 40 products, and serve over 230 million users and their visitors worldwide.
At Wix, we push you to innovate, evolve in non-traditional ways, and grow outside your comfort zone. We operate in small teams that work closely together to create incredible things.
We're proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
We believe solving complex problems starts by building strong infrastructure and platforms supported by engineers working with cutting-edge technology.
As a dev-centric company, we rely on testing, implementing smart feedback loops, measuring impact, and using “fail fast” methodologies to keep our high-scale traffic and advanced products in constant progress with a 99.99% uptime.
Job Description
Design, build, and maintain scalable data solutions and infrastructure to support data processing, data quality and data tools for different data professionals and consumers in the organization
Develop and maintain generic processes to ingest data automatically from various sources into our data lake/data warehouse
Lead end to end projects in the data infrastructure group, working closely with users and leaders from the Data Engineering Guild
Collaborate with cross-functional infrastructure teams to integrate data engineering solutions into our products and services to create high-quality deliverables
Stay up-to-date with the latest trends and technologies in data engineering and recommend best practices to improve our data infrastructure
Qualifications
3+ years of experience as a Data Engineer or Backend Developer with a focus on Python, Spark/Flink/Kafka, and experience cloud architecture (AWS services, k8s and more)
You are experienced in writing complex SQL queries and data pipelines for big data processing
You are an independent, self-learner who is passionate about data and can translate business and technical needs into data models or services
You have strong problem-solving skills and the ability to work independently
You’re a team player with excellent communication skills
Experience with Airflow, Great Expectations, Open Metadata, data governance practices or any data solutions would be an advantage
Experience building microservices in Python using FastAPI, Flask or similar would also be an advantage
Additional Information
We are Wix’s Data Infrastructure group, the driving force behind Wix’s data engineering platform, one of the most extensive commercial data operations in the tech industry. Each day we capture, process, analyze and serve tens of billions of events generated by millions of people worldwide. We build the infrastructure and tools that enable the rest of Wix and its users to access, explore and analyze this data to make data driven decisions, as well as build smarter data driven products. We do this by empowering our engineers to be responsible for the entire product lifecycle, from ideation to production. We value engineering excellence and quality, and are constantly looking for ways to learn and improve.
The Data Automation team specializes in building generic tools and velocity enhancers as its north star. We are responsible for building automated tools for data professionals such as DWH automation table creation, data quality framework (based on Great Expectation OS), data catalog (based on OpenMetaData OS) etc.
In addition we provide solutions for data consumers such as product managers to enable easily exploring the data across the different groups.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data Data governance DataOps Data pipelines Data quality Data warehouse Engineering FastAPI Flask Flink Kafka Kubernetes Microservices Pipelines Python Spark SQL Testing
Perks/benefits: Team events
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