Data Engineer – AWS and SQL – Sydney
Summary
Delivery Centric is hiring an experienced Data Engineer in Sydney to develop and maintain ETL/ELT pipelines and build cloud-native data solutions on AWS, working with SQL, data modelling, performance tuning, Python/PySpark, and services like Aurora PostgreSQL, Glue, and Redshift, while supporting data migration, governance, security, and operations.
Delivery Centric is seeking an experienced Data Engineer with strong expertise in SQL, database performance tuning, data modelling, and AWS data services. The role involves developing and maintaining ETL/ELT pipelines, building cloud-nativedata solutions, and supporting data migration, governance, security, and operational processes.
Required Skills & Experience
- 8+ years of experience in database and data engineering.
- Strong expertise in SQL, database performance tuning, and data modelling.
- Experience with AWS data services, including: Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift, AWS Quick
- Familiarity with AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) is desirable.
- Proficiency in Python and/or PySpark.
- Experience 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.
Delivery Centric is seeking an experienced Data Engineer with strong expertise in SQL, database performance tuning, data modelling, and AWS data services. The role involves developing and maintaining ETL/ELT pipelines, building cloud-nativedata solutions, and supporting data migration, governance, security, and operational processes.
Required Skills & Experience
- 8+ years of experience in database and data engineering.
- Strong expertise in SQL, database performance tuning, and data modelling.
- Experience with AWS data services, including: Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift, AWS Quick
- Familiarity with AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) is desirable.
- Proficiency in Python and/or PySpark.
- Experience 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.