Hiring a data Platform Engineer to join a leading company based in Tel Aviv for the growing data and technology team
What Youll Do:
Design, build, and maintain robust ETL /ELT pipelines that ingest data from diverse systems ( ERP, eCom platforms, APIs, files, etc.)
Develop and optimize data lakes and data warehouse environments (Azure Synapse, Snowflake, or similar)
Collaborate with data analysts and business teams to deliver high-quality datasets and modeling support
Implement and automate data quality checks, validation routines, and cleansing procedures
Monitor and troubleshoot pipeline performance, data delays, or failures
Contribute to the standardization of schema, ation, and pipeline patterns
Requirements: 5+ years of experience in data engineering or data platform development
Proficiency with SQL, PLSQL, and working with structured and semi-structured data (CSV, Parquet, JSON, APIs)
Experience building and maintaining pipelines using ETL tools or frameworks (e.g., ADF, SSIS, dbt, Airflow)
Familiarity with cloud data warehouse platforms such as Azure Synapse, Snowflake, Redshift, or BigQuery
Strong communication skills and the ability to work cross-functionally
Python or scripting knowledge - bonus
Experience in Azure or AWS, and familiarity with streaming tools - bonus
Background in retail or omni-channel data environments - bonus
This position is open to all candidates.