Data Engineer
Job Summary
To drive a major data platform modernization initiative, the full-time Data Engineer will execute the migration of approximately 1,000 datasets to Snowflake, modernize streaming infrastructure, and adapt existing pipelines while working remotely with a preference for candidates in the EMEA or APAC regions.
Key Responsibilities
- Execute end-to-end migration of datasets to Snowflake and upgrade orchestration workflows from Apache Airflow 2 to Airflow 3
- Migrate legacy Hive data structures to Apache Iceberg format using the Snowpark Connect framework
- Reconfigure and migrate Confluent/Apache Kafka streaming connections across cloud regions
Required Qualifications
- Minimum 2+ years of hands-on data engineering experience with large-scale datasets, Apache Airflow, and Apache Spark
- Strong software engineering fundamentals with hands-on Python development experience and advanced SQL skills
- Proven experience with Snowflake data modeling and schema architecture
- Direct experience building and testing pipelines using Apache Airflow, Apache Kafka, and Apache Spark/PySpark
- Expertise in working with Apache Iceberg and Apache Parquet data formats, alongside AWS S3
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