עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לחפש לבד בין מאות מודעות – תנו ל-Jobify לנתח את קורות החיים שלכם ולהציג לכם רק הזדמנויות שבאמת שוות את הזמן שלכם מתוך מאגר המשרות הגדול בישראל.
השימוש חינם, ללא עלות וללא הגבלה.
In an ecosystem where everyone’s trying to get closer – buyers to sellers, platforms to clients, brands to consumers – A company that bridges new opportunities in ways that others cannot is looking for a Data Engineer Team Lead to join its Data Engineering team in Tel Aviv. Data, service and planning capabilities are the company's superpowers, enabling its clients to better reach and understand audiences across screens. They have the tools, expertise and ambition to empower their clients to take the future into their own hands. And not just their clients, but their employees too.
You will be leading one of the company's data platform teams, that is responsible for processing, storing, and serving data for all the company's core systems.
What You’ll Do:
Lead and mentor a data lake team within the data organization.
Drive high-level projects with company-wide visibility.
Manage the team roadmap, team building, and SW project execution.
Collaborate with stakeholders, including developers, product managers, and business operations.
Take full ownership of end-to-end feature development, from design to production. Contribute to building and designing innovative big data solutions.
Research core technologies and integrate with external APIs and services.
What will I bring?
BSc in Computer Science or related degree.
2+ years of experience in leading an engineering team.
6+ years of data engineering experience as a developer, tech lead, or architect.
4+ years of experience in Java.
Strong system architecture knowledge.
Experience in building high-volume and scalable applications.
Proficiency with cluster technologies, distributed systems, or streaming applications.
Familiarity with SQL and NoSQL databases.
Experience with pipelines/ Spark/ Kafka.
Experience with Vertica/ Redis/ Elasticsearch/ Hadoop.
Familiarity with Scrum methodologies.
AWS Service Experience.
Working knowledge of Linux, Docker, Kubernetes, CI/CD, and rollout plans.
Excellent spoken and written English communication skills.
Proactive team player with a desire to impact the company's engineering team, product, and customers.
במקום לחפש לבד בין מאות מודעות – תנו ל-Jobify לנתח את קורות החיים שלכם ולהציג לכם רק הזדמנויות שבאמת שוות את הזמן שלכם מתוך מאגר המשרות הגדול בישראל.
השימוש חינם, ללא עלות וללא הגבלה.