עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
The Data Engineering department is responsible for full-stack design and development of the company's central data & ML services and business platforms. The department is responsible for the overall projects, design, architecture and development of huge scale and very challenging cloud-based Big Data, machine learning and business applicative platforms for ensuring excellence in the performance of business aspects including games & product design, marketing, retention, monetization, etc. Department solutions support the optimization of the company's overall business performance.
Responsibilities:
Support Data Science team: Assist in deploying, integrating, and monitoring machine learning / IA models.
Build end to end data solutions by translating business requirements into technical solutions, creating complex ETL processes and data visualizations.
Design and build heavily used reports, visualizations and dashboards
Hands-on development and delivery of BI solutions using BI technologies (Qlik Sense/Looker/Tableau)
Understand business needs and translate them into BI-based solutions.
Train end-users for maximizing reports effectiveness
Perform research and POCs on new data tools and technologies.
4+ years of experience in developing BI dashboards and complex measures in Qlik Sense/Looker/Tableau or other data visualization solutions (Qlik Sense- advantage) - Must
2+ years of hands-on experience in Scala/Python Must
Expert in writing efficient sql queries and optimize performance (SparkSQL/BigQuery - advantage) - Must
Experience in developing ETL processes - Advantage
You can write Technical Designs and turn business requirements to technical solutions
Team player with a can-do attitude
Bachelors degree in Computer Science or related
Desired:
Experience building semantic layer
Statistic background in the data science area
Experience working on cloud solutions (GCP a big advantage)
Experience working with notebook solutions (Databricks, Jupyter, Zeppelin)
Experience working in Agile Scrum methodologies
Analyst / data storytelling experience
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
ערב