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 הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
35,000-50,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for a Data Engineering Team Lead to drive the development and optimization of our data infrastructure.

So, what will you be doing all day?

Lead & Mentor: Provide technical leadership and mentorship, setting clear goals, fostering innovation, managing stakeholders and guiding the professional growth of the team.
Data Infrastructure Development: Design and enhance scalable data architectures and pipelines to support current and future business needs.
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Monitoring & Optimization: Ensure system reliability, observability, and performance using monitoring, logging, and alerting tools.
Collaboration & Stakeholder Engagement: Work closely with BI analysts, business stakeholders, and cross-functional teams to define data requirements and enable self-service BI capabilities.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

Requirements:
BSc in Computer Science, Engineering, or equivalent practical experience.
5+ years of experience in data engineering, with 2+ years in a leadership role.
Technical Expertise:
Strong SQL skills and experience designing scalable and reliable data architectures.
Expertise in building data pipelines and workflows with tools like Airflow, DBT, and Databricks.
Experience with cloud-based data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
Proficiency in Python for data engineering and automation.
Familiarity with infrastructure-as-code tools like Terraform, Kubernetes (K8s), Docker, or Nomad.
Soft Skills:
Strong problem-solving abilities and a passion for learning new technologies.
Excellent communication and collaboration skills, with the ability to work independently and in a team.

This position is open to all candidates.