Data Engineer at Rise
Tel-Aviv, Tel-Aviv District, Israel -
Full Time


Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, ETL Processes, Python, SQL, Apache Spark, Big Data, Airflow, Cloud Computing, Data Solutions, Data Tables, Data Pipelines, Automation, Data Workflows, Collaboration, Troubleshooting, Business Intuition

Industry

Advertising Services

Description
We’re looking for a Data Engineer to design and build ETL processes that turn raw data into clean, aggregated datasets. You’ll work closely with analysts, product, and business teams to understand needs and deliver scalable, production-ready data models. This is a hands-on role in a high-scale environment, working with massive data volumes and real business impact. Responsibilities Design and build end-to-end ETL processes using Python, SQL, and Spark Translate business needs into robust data solutions—don’t just execute, help shape the direction Own the development of data tables and pipelines that are maintainable, reusable, and scalable Collaborate with analysts, data scientists, and other stakeholders to understand requirements Drive automation and avoid redundant tables and duplicated logic Monitor, troubleshoot, and continuously improve data workflows Requirements 3+ years of hands-on experience as a Data Engineer or in a similar role Strong knowledge of SQL and Python Experience with Apache Spark or similar big data frameworks Familiarity with Airflow or other orchestration tools Comfortable working in a cloud-based environment Strong business intuition Independent, proactive, and curious Experience working with large-scale data and building clean, efficient data infrastructure Advantages null
Responsibilities
Design and build end-to-end ETL processes using Python, SQL, and Spark. Collaborate with analysts and business teams to deliver scalable, production-ready data models.
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