This is a Senior Data Engineer role with XPT Software based in Sydney, NSW, AU XPT Software Role Seniority - senior More about the Senior Data Engineer role at XPT Software Minimum Years of Experience: 8Years Must Have Skills: · Hands On with advanced SQL, Python etc. · Hands On in data profiling · Hands On in working on Cloud like Azure and Cloud DW like Data bricks · Hands On experience on Scheduling tools like Airflow, Control M etc. · Knowledgeable on Big Data tools like Spark (Python/Scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase) · Knowledgeable in CICD processes – Bit Bucket/GitHub, Jenkins, Nexus etc. · Knowledgeable managing structured and unstructured data types. Nice to Have Skills: · Experience in working with a team of data engineers working from different locations in different time zones. · Excellent communication. · Effective prioritization. · Pragmatic stakeholder management.Cloud Platform Familiarity: Understanding of cloud services (AWS, Azure, GCP) to analyze and optimize cloud-based systems. · Basic Scripting Knowledge: Ability to write simple scripts in Python, SQL, or R for data extraction, transformation, and analysis. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the XPT Software team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Working with data engineers Managing data types ⚙️ Optimizing cloud systems Key Strengths ️ Advanced SQL Python Data profiling ☁️ Cloud services familiarity Communication skills Basic scripting knowledge A Final Note: This is a role with XPT Software not with Hatch.