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

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה

We're seeking a seasoned Data Engineer to build the data infrastructure that fuels our groundbreaking intelligent agent.
You'll play a crucial role in developing large-scale data-intensive systems that power Apollo's capabilities.
What You'll Do:
- Design and implement massive parallel processing solutions for both real-time and batch scenarios
- Develop real-time stream processing solutions using technologies like Apache Kafka or Amazon Kinesis
- Build infrastructures that bring machine learning capabilities to production
- Orchestrate containerized applications in cloud environments (AWS and GCP)
- Write production-grade Python code and work with various database systems
- Administer and design cloud-based data warehousing solutions
- Work with unstructured data, complex data sets, and perform data modeling
- Collaborate with cross-functional teams to integrate data solutions into our AI systems

Requirements:
- + years of experience building massive parallel processing solutions (e.g., Spark, Presto)
- 2+ years of experience developing real-time stream processing solutions (e.g., Apache Kafka, Amazon Kinesis)
- 2+ years of experience developing ML infrastructures for production (e.g., Kubeflow, Sagemaker, Vertex)
- Experience orchestrating containerized applications in AWS and GCP using EKS and GKE
- 3+ years of experience writing production-grade Python code
- Experience working with both relational and non-relational databases
- 2+ years of experience administering and designing cloud-based data warehousing solutions (e.g., Snowflake, Amazon Redshift)
- 2+ years of experience working with unstructured data, complex data sets, and data modeling

This position is open to all candidates.