Big Data Engineer jobs in NSW
• The average pay for Big Data Engineer jobs in NSW is $103K per year.
• Entry-level positions start at $97K per year, while the most experienced workers can earn up to $120K per year.
• Top skills include SQL, SCALA, ETL, Hive and OPTIMIZATION.
• Entry-level positions start at $97K per year, while the most experienced workers can earn up to $120K per year.
• Top skills include SQL, SCALA, ETL, Hive and OPTIMIZATION.
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Posted 2d ago
Full time
·
Permanent
Similar jobs pay
~$100k - $150k
Pay information not disclosed by advertiser
Key points we found
- Seeking a skilled Data Engineer with Big Data and Azure Stack experience.
- Responsible for designing and building cloud-native data platforms and APIs.
- Collaborate with various teams to deliver scalable and secure data solutions.
Expiring today
Full time
·
Permanent
Similar jobs pay
~$100k - $150k
Pay information not disclosed by advertiser
Key points we found
- Join a team shaping enterprise data engineering and governance.
- Develop scalable data pipelines and cloud-native platforms on Azure.
- Collaborate with cross-functional teams to deliver AI-enhanced data solutions.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$188k - $323k
Pay information not disclosed by advertiser
Key points we found
- 5+ years experience in Data Engineering and Warehousing.
- Expertise in ingestion and processing technologies such as Sqoop, Spark, and Kafka.
- Experience in building applications using Spark SQL and managing structured and unstructured data.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$188k - $333k
Pay information not disclosed by advertiser
Key points we found
- 5+ years experience in Data Engineering and Warehousing
- Expertise in streaming frameworks and data ingestion technologies
- Experience in building Spark SQL and managing structured and unstructured data
+60d ago
Full time
·
Permanent
Similar jobs pay
~$141k - $323k
Pay information not disclosed by advertiser
Key points we found
- Develop end-to-end big data pipelines
- Utilise technologies such as Hadoop, Hive, Spark, and Scala
- Implement data warehouse and ETL concepts