Data Engineer
1 week ago
Job Title:
Data Engineer
Location:
Sydney, Australia
Experience:
5 – 9 Years
Employment Type:
Full-Time / Permanent
Role Overview
We are seeking a highly skilled and motivated
Data Engineer
to join our dynamic team in
Sydney
. The ideal candidate will possess strong expertise in
AWS cloud services
,
Big Data technologies
, and
Python programming
, with prior experience in
BFSI environments
. You will be responsible for designing, developing, and maintaining data pipelines, ensuring seamless data flow across systems, and supporting analytical initiatives within the organization.
Key Responsibilities
- Design, develop, and implement robust data pipelines and ETL solutions.
- Work extensively with
AWS services
such as EC2, EMR, S3, Redshift, IAM, Glue, RDS/Aurora, Athena, and VPC. - Develop efficient and scalable data processing frameworks using
Hadoop, Spark, Scala, and Hive
. - Collaborate with cross-functional teams to gather and analyze data requirements.
- Support data governance, data quality, and performance optimization initiatives.
- Work on
Omnia platform
projects within the BFSI domain. - Ensure data security, reliability, and compliance with organizational standards.
- Troubleshoot and resolve complex data engineering and integration issues.
Required Skills & Qualifications
- Strong programming proficiency in
Python
. - Proven hands-on experience in
AWS cloud services
(EC2, EMR, S3, Redshift, IAM, Glue, RDS/Aurora, Athena, VPC). - Expertise in
Big Data technologies
(Hadoop, Spark, Scala, Hive). - Exposure to
Omnia platform
in BFSI environments. - Solid understanding of
cloud networking concepts
(VPC, subnets, security groups). - Excellent
analytical, problem-solving, and communication
skills. - Bachelor's Degree
in Computer Science, Engineering, or a related field.
Preferred Attributes
- Strong sense of ownership and accountability.
- Ability to work effectively in a collaborative and fast-paced environment.
- Willingness to explore and adopt emerging cloud and data technologies.
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