Skai
  • 29 active jobs (view)

  • Published: January 10, 2022
Category
Job Type
Level of education
Undergraduate
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years

Description

Skai is looking for the best and the brightest to join our family. We're proud of our industry-leading digital marketing software but we're even prouder of the people behind it. That's where you come in!

Our work environment is very fast-paced and entrepreneurial. We work hard, we play hard, and we always do whatever it takes to delight our customers.

The successful Data Engineer will create new data solutions while supporting and enhancing the existing ones. You'll design, develop and implement business requirements into actionable insights that will serve multiple stakeholders in the organization.

This position offers an opportunity to build insightful data solutions in a rich data environment over big data technologies. Create real value from data and communicate it to the different stakeholders. Manage a data structure & model, which supports and reflects the actual business model. Own and manage multiple BI initiatives and projects both on an ongoing and an ad-hoc basis. Design, build and test end-to-end Data models, Data flows, and data enrichment processes. Become a focal point for all data-related matters in the organization.

Requirements

- Bachelor's degree in a Computer Science/Information systems-related field required.
- 5+ years experience as / Data Engineer in a Big Data environment.
- 3+ years of experience in designing and modeling DWH models.
- 2+ years experience in a tech leadership role
- Scripting capabilities with Python.
- Experience in SQL tuning and ETL processes improvements
- Proficient in DWH methodologies and best practices.
- Highly skilled with SQL.
- Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, etc.)
- Great analysis abilities, energetic and fast learning with "make it happen" approach.
- Experience with Snowflake - big advantage
- Experience with Airflow (or other open-source data pipeline) - big advantage
- Experience with CI/CD processes in Jenkins - advantage
- Databricks, Kafka, Spark, Ansible, Docker - advantage

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