Data Engineer - Sydney
Delivery Centric
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Job summary
Delivery Centric is seeking a Database & Data Engineer to build and support scalable cloud-native data solutions using SQL and AWS data services. Expect strong emphasis on data modelling, ETL/ELT pipelines, and governance.
Applicants should have 5+ years in data engineering, hands-on AWS Glue, Redshift, and Snowflake experience, plus Python or PySpark proficiency, and familiarity with Git and Agile delivery. NSW, Australia-based role.
Qualifications
- 5+ years of experience in Database and Data Engineering.
- Strong expertise in SQL, database design, and performance tuning.
- Hands-on AWS data services experience: Glue, Aurora PostgreSQL, Redshift, QuickSight, DMS.
- Experience with data modelling and SQL development.
- Proficiency in Python and/or PySpark.
- Experience designing and building ETL/ELT pipelines and cloud-native data solutions.
- Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
- Understanding of data governance, security, and operational support.
- Experience with Snowflake is preferred.
Skills
Tools
Job description
Delivery Centric is seeking a Database & Data Engineer with strong expertise in SQL, AWS data services, data modelling, and ETL/ELT development to build and support scalable cloud-native data solutions.
Required Skills & Experience
- 5+ years of experience inDatabase and Data Engineering.
- Strong expertise in SQL, database design, and performance tuning.
- Hands-on experience with AWS data services, including AWS Glue, Amazon Aurora PostgreSQL, Amazon Redshift, Amazon QuickSight, and AWS DMS. Experience withAWS Schema Conversion Tool (SCT) is desirable.
- Strong data modelling and SQL development skills.
- Proficiency in Python and/or PySpark.
- Experience designing and buildingETL/ELT pipelines and cloud-native data solutions.
- Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
- Understanding of data governance, security, and operational support.
- Experience with Snowflake is preferred
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