Senior Data Engineer

Job description

Ippon Australia is a team of true technologists who leverage contemporary thinking and tools to enhance the way our clients drive value. Whether it’s a bespoke platform to improve employee engagement within a national retail chain, or developing an app that provides next level direct customer interaction; value is delivered to our clients when we begin by understanding the business outcomes they desire and then apply our technical expertise to make these a reality. We are expanding our market offering through the development of a Data & AI practice and are searching for passionate Data Engineers to join us. The Data practice complements our capabilities in Experience Design and Product, as well as Software Engineering and Cloud, further enhancing our ability to deliver comprehensive business outcomes to our clients. As a Senior Data Engineer, you will be working along side of our clients and be involved in supporting and/or driving the design, build, testing and implantation of data transformation of data pipelines using various tools and technologies. Gathering business requirements by engaging in data sourcing, data gathering and integration processes, as well as developing data pipelines using Big Data technologies. ### Experience: - Exposure or experience in large scale data transformation - Experience in design and solution of high-quality data processing pipelines - Experience working with enterprise data warehouses with a closely integrated system providing or consuming data - Experience in DBT and ETL - Knowledge and exposure to Big Data technologies and Cloud Big Data warehouses such as RedShift, and Snowflake - Experience in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment preferred - Experience with SQL, Python, and open-source data tooling (Apache Kafka, Spark, ETL processing, etc.) - Experience in data modelling, analysis, and profiling preferred - Extensive experience in Databricks including Apache Spark & SQL and Data Lake