Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Elementor Senior Data Engineer 
Israel, Tel Aviv District 
505663515

29.03.2024
About The Position

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’ll collaborate with different departments to identify 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 technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.

Responsibilities
  • End-to-end development of company data infrastructure
  • Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
  • Build and design data platform components to enable clients to produce and consume data
  • Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
  • Build and design self-serve components that can speed up the development cycle and time to market
  • Research and implement best practices and new approaches to our current data stack and systems
  • Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems
Requirements
  • 5+ years of experience in data engineering or backend engineering roles - a must
  • Strong knowledge of backend programming languages (Python, Java, Go, Scala, or similar) - a must
  • Deep knowledge and strong experience deploying distributed data technologies and systems (Spark, Kafka, Airflow, or similar) - a must
  • Strong and proven knowledge working with data lakes, lakehouses, and data warehouses in the cloud (Databricks, Snowflake, Trino, Cloud Storage, or similar)
  • Advanced proficiency working with SQL / NoSQL databases
  • Strong experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring