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.
מלאה
We are seeking an experienced Senior Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business.
Key Responsibilities:
Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, Azure services.
Troubleshoot and optimize queries and jobs for performance improvements.
Implement best practices for data governance, security, and monitoring.
Stay updated with industry trends and emerging technologies in data engineering.
Key Responsibilities:
Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, Azure services.
Troubleshoot and optimize queries and jobs for performance improvements.
Implement best practices for data governance, security, and monitoring.
Stay updated with industry trends and emerging technologies in data engineering.
Requirements:
Required Qualifications:
4+ years of experience in data engineering or related fields.
Proficiency in Python for data processing and automation.
Expertise in Apache Airflow for workflow orchestration Must
Deep understanding of Apache Spark and Databricks for big data processing.
Familiarity with cloud-based environments, particularly Azure.
Advanced proficiency in SQL and query optimizations.
Familiarity with data modeling, ETL/ELT principles, and performance tuning.
Knowledge of CI/CD, containerization (Docker).
An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.
Required Qualifications:
4+ years of experience in data engineering or related fields.
Proficiency in Python for data processing and automation.
Expertise in Apache Airflow for workflow orchestration Must
Deep understanding of Apache Spark and Databricks for big data processing.
Familiarity with cloud-based environments, particularly Azure.
Advanced proficiency in SQL and query optimizations.
Familiarity with data modeling, ETL/ELT principles, and performance tuning.
Knowledge of CI/CD, containerization (Docker).
An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.
This position is open to all candidates.
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.
מיקום לא צוין
ערב
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