Apache Flink
2 weeks ago
Job role – Apache Flink
Job Location – Sydney
Job Type – Contract
Key Responsibilities:
- Design, develop, and optimize
real-time data pipelines
using
Apache Flink
and
Apache Kafka
. - Work with
Amazon MSK
to manage scalable Kafka infrastructure in AWS. - Collaborate with data architects, analysts, and business stakeholders to implement robust and fault-tolerant streaming solutions.
- Implement event-driven architecture patterns to support modern banking applications.
- Ensure data quality, consistency, and security in streaming and batch data flows.
- Participate in code reviews, performance tuning, and continuous integration processes.
- Contribute to the overall data platform modernization strategy in the cloud (AWS)
Required Skills & Experience:
- 8–12 years
of total experience in
data engineering
, with at least
3–4 years of hands-on experience in Apache Flink
. - Proficiency in
Apache Kafka
and
Amazon Managed Streaming for Kafka (MSK)
. - Strong experience building streaming and real-time data processing systems.
- Solid programming skills in
Java
or
Scala
(preferred), and familiarity with
SQL
. - Proven experience working with
AWS services
, particularly in data processing and orchestration. - Experience in the
banking or financial services domain
is strongly preferred. - Familiarity with DevOps practices, CI/CD, and monitoring tools for data pipelines.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty or Solutions Architect)
- Experience with other streaming technologies such as Spark Streaming, Kinesis, etc.
- Exposure to data governance, compliance, and security best practices in finance.
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