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 looking for a Data Infrastructure Engineer to join our team and take a pivotal role in building and maintaining a state-of-the-art data infrastructure. You will oversee the end-to-end data architecture for our growing products, ensuring that the infrastructure is scalable, performant, and optimized for both cost and reliability.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data group owns and manages the pipelines that create our assets, with a strong focus on the company KPIs.
How youll shape the future of B2B sales?
Build and Maintain Data Infrastructure: Design, develop, and maintain a modern Data Lake infrastructure to support a variety of data sources and workloads.
End-to-End Data Architecture: Lead the design and evolution of data architecture for our products, ensuring that systems are scalable, secure, and optimized.
Data Governance: manage and catalog our data assets, implement data observability and monitoring tools
Monitor and Maintain Data Platforms: Ensure continuous, reliable performance of data platforms through proactive monitoring, troubleshooting, and optimization of workloads, queries, and infrastructure.
Utilize Modern Data Technologies: Work with technologies such as Apache Spark, Databricks, Elasticsearch, Kafka, and Kubernetes to build and maintain cutting-edge data systems.
Collaborate with DE, DS, and DevOps Teams: Work closely with Data Engineering, Data Science, and DevOps teams to integrate and support ML and Data-Driven solutions into a sustainable production environment.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data group owns and manages the pipelines that create our assets, with a strong focus on the company KPIs.
How youll shape the future of B2B sales?
Build and Maintain Data Infrastructure: Design, develop, and maintain a modern Data Lake infrastructure to support a variety of data sources and workloads.
End-to-End Data Architecture: Lead the design and evolution of data architecture for our products, ensuring that systems are scalable, secure, and optimized.
Data Governance: manage and catalog our data assets, implement data observability and monitoring tools
Monitor and Maintain Data Platforms: Ensure continuous, reliable performance of data platforms through proactive monitoring, troubleshooting, and optimization of workloads, queries, and infrastructure.
Utilize Modern Data Technologies: Work with technologies such as Apache Spark, Databricks, Elasticsearch, Kafka, and Kubernetes to build and maintain cutting-edge data systems.
Collaborate with DE, DS, and DevOps Teams: Work closely with Data Engineering, Data Science, and DevOps teams to integrate and support ML and Data-Driven solutions into a sustainable production environment.
Requirements:
5+ years of programming experience, preferably in Python and SQL, and Proven experience designing, developing, and maintaining scalable production data solutions and infrastructure.
Strong knowledge of Data Lakes, data warehouses, Big Data platforms, and building complex data pipelines.
Hands-on experience with cloud computing services (AWS, GCP, or Azure) and Apache Spark
Familiarity with Databricks in the AWS cloud is a huge advantage.
Experience working with various database engines, including relational (Postgres, MySQL), and no-sql such as MongoDB, Redis, and Elasticsearch.
Familiarity with CDC methodologies and infrastructure
Proficiency in writing, debugging, and optimizing distributed systems, with a strong understanding of data orchestration and automation tools (e.g., Airflow, Kubernetes, Kafka)
Experience in building and maintaining infrastructure for processing large datasets, particularly for ML model training and serving pipelines
Deep expertise in Data pipeline (ETL) processes, including data ingestion, transformation, modeling, and monitoring, ensure efficient, scalable, and reliable ML & Data pipelines.
Experience with Python environments, Poetry, and packaging management
Ability to work effectively in cross-functional teams with excellent communication skills.
5+ years of programming experience, preferably in Python and SQL, and Proven experience designing, developing, and maintaining scalable production data solutions and infrastructure.
Strong knowledge of Data Lakes, data warehouses, Big Data platforms, and building complex data pipelines.
Hands-on experience with cloud computing services (AWS, GCP, or Azure) and Apache Spark
Familiarity with Databricks in the AWS cloud is a huge advantage.
Experience working with various database engines, including relational (Postgres, MySQL), and no-sql such as MongoDB, Redis, and Elasticsearch.
Familiarity with CDC methodologies and infrastructure
Proficiency in writing, debugging, and optimizing distributed systems, with a strong understanding of data orchestration and automation tools (e.g., Airflow, Kubernetes, Kafka)
Experience in building and maintaining infrastructure for processing large datasets, particularly for ML model training and serving pipelines
Deep expertise in Data pipeline (ETL) processes, including data ingestion, transformation, modeling, and monitoring, ensure efficient, scalable, and reliable ML & Data pipelines.
Experience with Python environments, Poetry, and packaging management
Ability to work effectively in cross-functional teams with excellent communication skills.
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.
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