סקירה כללית
We are looking for a Senior Data Infrastructure Engineer to lead the design, build, and optimization of a modern data platform. The role involves hands-on work with cloud-based data technologies, building data lakes from scratch, and managing large-scale data pipelines while ensuring high performance, cost efficiency, and reliability. You will collaborate closely with data engineers, data science, analytics, and product teams to support business needs. Key Responsibilities: * Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift * Develop and optimize large-scale data pipelines for batch and streaming use cases * Ensure high performance, scalability, and cost efficiency across data systems * Work with complex data workflows, AI models, transformations, and orchestration * Apply best practices in data modeling, monitoring, security, and governance Requirements: * 5+ years in data engineering or data infrastructure roles * Proven experience building modern data platforms or data lakes from scratch * Strong Python programming skills and experience with Spark / PySpark * Knowledge of distributed systems and cloud-based architectures * Experience with ETL/ELT processes and handling data at scale Nice to Have: * Experience with cloud providers (AWS, GCP, Azure) * Familiarity with orchestration tools (Airflow, Dagster) * Knowledge of data governance, security, and access control * Experience supporting analytics, BI, or machine learning workloads What We Offer: * Ownership of end-to-end modern data platforms * Opportunity to tackle high-impact, large-scale data challenges * Collaborative, professional engineering environment * Competitive compensation and benefits
דרישות המשרה
* Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift * Develop and optimize large-scale data pipelines for batch and streaming use cases * Ensure high performance, scalability, and cost efficiency across data systems * Work with complex data workflows, AI models, transformations, and orchestration * Apply best practices in data
