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.

חברה בתחום כללי

הרצליה

חברה בתחום כללי

הרצליה
מלאה
30,000-45,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
זוהי הערכת טווח שכר מבוססת AI ולא שכר שהתקבל מהמעסיק

As a Senior data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL /ELT processes, working closely with architects and development teams. Your duties and responsibilities include:
* Lead the design and implementation of scalable data architecture solutions.
* Develop, construct, TEST, and maintain data architectures (e.g., databases, large-scale processing systems).
* Identify ways to improve data reliability, efficiency, and quality.
* Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
* Optimize complex SQL queries and perform performance tuning.
* Participate in Scrum and Agile development processes.
* Implement and manage relational and non-relational databases.

Requirements:
Must-have Qualifications
* 5+ years of experience leading, designing, and implementing data architecture at an enterprise level.
* 5+ years of experience working with relational databases (for example, PostgreSQL, MSSQL or MySQL).
* 2+ years of experience working with Elasticsearch.
* 2+ years of experience working with non-relational databases (for example, MongoDB or Cassandra).
* Be exceptionally strong in SQL development - complex queries and performance tuning.
* Implement and manage ETL /ELT processes for data integration and transformation.
* Proficiency in Azure and Azure data Factory for data integration and transformation.
* Experience with Databricks or similar data processing platforms.
* Experience with Scrum and Agile methodology.
* Fluent in spoken and written English. Advantages
* Experience with Big Data technologies such as Hadoop, Spark, or Kafka.
* Familiarity with data warehousing solutions.
* Knowledge of data governance and data security practices.
* Certification in Azure or other relevant technologies.
* University or college degree in Computer Science or a related discipline.

This position is open to all candidates.