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 straightforward scripts in Python, SQL, or R for data extraction, transformation, and analysis.

📌 Senior Data Engineer (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney