Data Engineer (SQL, PySpark, Snowflake, DBT, Redshift) - AVP/VP

📋 Description Design, build, and operate scalable data pipelines on AWS Own end-to-end pipeline orchestration, scheduling, retries, and observability Develop lakehouse assets on Apache Iceberg with partitioning and schema evolution Develop and operate Spark jobs, including AWS Glue Spark jobs Model, load, and optimize data in Snowflake and govern assets Architect data solutions on AWS using S3, Glue, EMR, Lambda, Athena, Kinesis, Redshift 🎯 Requirements 8+ years of hands-on data engineering experience Strong Python for data engineering and automation Advanced SQL and relational DBs (PostgreSQL/MySQL) Experience with a production workflow orchestrator (Airflow/Dagster) Hands-on Spark for large-scale processing Experience with Apache Iceberg and lakehouse storage 🎁 Benefits Collaborative, fast-paced environment Mentor junior engineers and drive standards Generative AI tooling and platform improvements