Data Engineer
1 week ago
Senior Data Engineer
Rate: AUD750 inclusive of Superannuation /Day
Location: Melbourne
Contract Duration- 3 months duration
The role focuses on
developing, modernizing, and migrating applications and data pipelines to AWS Cloud
. You will design and implement
scalable ETL solutions
using
PySpark, SparkSQL, SQL, and AWS Glue
, while applying best practices in
DevOps, CloudOps, and DataOps
.
This role is ideal for candidates with hands-on experience in
AWS-based development, data migration projects, and building cloud-native data solutions
.
Key Responsibilities
- Design, build, and maintain
data pipelines and ETL workflows
using
AWS Glue, PySpark, and Python
. - Lead and support
application and data migration projects
to AWS Cloud. - Work with
AWS services
(S3, Glue, Lambda, EMR, Redshift, RDS, Step Functions, etc.) for scalable data solutions. - Optimize and manage
SQL-based data transformations and queries
. - Implement
dimensional modeling
and support reporting/analytics needs. - Contribute to
Lakehouse and Data Warehouse architectures
on AWS. - Apply
DevOps & CI/CD practices
for cloud deployments, monitoring, and automation with an
SRE mindset
. - Collaborate with engineering teams to design and develop
APIs and microservices
for data and application integration. - Ensure
version control
and collaborative coding practices with Git.
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