Senior Data Engineer (Data Science/ML)

TL;DR

Senior Data Engineer (Data Science/ML): Responsible for building, maintaining, and optimizing data infrastructure to process billions of records daily, driving critical business insights across the organization. Focus on evolving AWS-based infrastructure, integrating external tools, and employing QA automation methods to assure infrastructure quality.

Location: Israel

Company

hirify.global is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.

What you will do

• Build, maintain, and optimize data infrastructure.
• Contribute to the evolution of the AWS-based infrastructure.
• Work with database technologies – Snowflake, Iceberg, Trino, Athena, and Glue.
• Utilize Airflow, Spark, Kubernetes, and ArgoCD.
• Provide AI tools to ease data access for customers and use AI to accelerate development.
• Integrate external tools for anomaly detection or data sources ingestion.

Requirements

• 5+ years of experience as a Data Engineer or Backend Developer.
• Experience with Big Data and cloud-based environments, preferably AWS.
• Experience with Spark and Airflow.
• Experience with Snowflake, Databrick, BigQuery, or Iceberg.
• Strong development experience in Python.
• Strong analytical skills.

Nice to have

• Knowledge of Scala for Spark is a plus.
• A team player that cares about the team, the service, and its customers.