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
30,000-50,000 ₪
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
**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:
- 3+ 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
- 3+ 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.
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.
ראשון לציון
הרצליה
ערב
7 חודשים
סבסוד
