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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • אלפי משרות חדשות בכל יום
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כבר העליתם קו"ח בעבר? כניסה
מלאה
If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Data Engineer.
Responsibilities:
Building production-grade data pipelines and services.
Taking ownership of major projects from inception to deployment.
Architecting simple yet flexible solutions, and then scaling them as we grow
Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.
Responsibilities:
Building production-grade data pipelines and services.
Taking ownership of major projects from inception to deployment.
Architecting simple yet flexible solutions, and then scaling them as we grow
Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.
Requirements:
Requirements:
4+ years of experience as a Data Engineer.
2+ years of experience using PySpark.
Experience building and maintaining production grade data pipelines, and working in distributed architectures.
Experience with SQL and NoSQL Databases.
Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S.
Experience with ETL tools: AWS Glue/Apache Airflow/Prefect, etc.
Experience with Databricks or similar.
Advantages:
MLOps experience.
Experience with Kafka.
Experience with designing and implementing data lake/warehouse.
Requirements:
4+ years of experience as a Data Engineer.
2+ years of experience using PySpark.
Experience building and maintaining production grade data pipelines, and working in distributed architectures.
Experience with SQL and NoSQL Databases.
Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S.
Experience with ETL tools: AWS Glue/Apache Airflow/Prefect, etc.
Experience with Databricks or similar.
Advantages:
MLOps experience.
Experience with Kafka.
Experience with designing and implementing data lake/warehouse.
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 • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
DOCX, DOC, PDF - בעברית או באנגלית
כבר העליתם קו"ח בעבר? כניסה
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