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 Skills: Etl, S3, Emr, Sql, Python Experience: 8.00-13.00 Years