Minimum Years of Experience: 8Years
Must Have Skills:
·
Hands On with advanced SQL, Python etc.
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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.
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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.
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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
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