Data Engineer
About The Position
As a Data Platform Engineer, you will join our data platform team, working alongside data engineers, backend engineers, and analysts and BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance Elementor as a data-driven company. You will collaborate with different departments to expose them to data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge data technologies and address the business needs of other department members based on an in-depth understanding of our business.
Work Environment
What do we do?
Elementor is the leading website building platform for WordPress professionals.
Our vision is to empower web creators - developers, designers, and marketers, with the ability to create their future one pixel at a time. We provide our users with everything they need to succeed.
A new website is created every 10 seconds using Elementor!
Since we launched in Israel in 2016, we have expanded to more than 180 countries, with more than 15M websites powered by Elementor. More than 9% of all websites around the world are built using Elementor!
How do we do it?
At Elementor, we’re building the future of web creation.
We believe in empowering our employees and our users, enabling people to grow.
Creativity, professionalism, curiosity, motivation, and friendship are the driving force behind our journey, and we take great pride in the people of Elementor who lead the company’s constant scaling.
Responsibilities
- End-to-end development of company data infrastructure
- Build and develop high-performance, near real-time ETL/ELT processes incorporating Airflow, AWS, Kubernetes, Databricks, Spark, and Kafka
- Build data architecture to enable clients to produce and consume data using SQL or programmatic.
- Drive the collection of new data and refine existing data sources
- Develop, implement, and maintain change control and testing processes
- Design and build monitoring tools
- Implement data pipelines and data architecture that are scalable, fault-tolerant, and support high throughput and low latency, while considering security aspects at all times
Requirements
- 3+ years of experience in Data Engineering role or similar
- 3+ years of Python experience with the ability to understand other languages - a must
- Experience working with and deploying distributed data technologies - Airflow, DBT (or similar), etc. - a must
- Experience in working with cloud providers (GCP, AWS)
- Experience with data lakes & data warehouses in the cloud (S3, Redshift, Cloud storage, Athena)
- Proven experience working with SQL and NoSQL databases
- Ability to build and deliver working software through iterative, agile processes
- Experience with ETL processes, data integration, data modeling and data warehouse