Senior Data Engineer

• Developing and maintaining data models that define the structure, relationships, and constraints of data within enterprise data model
• Creating and implementing data pipelines and ETL processes to move and transform data from various sources into data storage solutions like data warehouses or data lakes
• Implementing measures to ensure the accuracy, integrity, and consistency of data throughout the ETL process
• Ensuring ETL processes are efficient, scalable, and optimized for performance

Mandatory Skills:

• 8+ years for Data Modeling and ETL Development Experience
• Experience with dimensional data modeling and star schema
• Strong SQL skills experience
• Experience with ETL Development using Python and Amazon Glue
• Experience loading data into the Amazon Redshift and Amazon S3
• Apache Iceberg

Preferred Skills:

• Spark
• Amazon EMR
• Apache Kafka or Apache Flink