Omni Inclusive
3-5 years of experience in data engineering.
Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred.
Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design, dimensional modeling, and reporting enablement).
Orchestration experience with Airflow, Step Functions, and Lambda
Experience with Redshift performance tuning, schema design, and workload management.
Cloud experience (AWS ecosystem preferred).