to join a leading technology solutions company based in Damansara. This role involves developing scalable data systems, optimizing pipelines, and ensuring data quality to support analytics and real-time processing. It's ideal for someone passionate about data architecture, system performance, and engineering innovation.
Responsibilities
Design and develop
scalable data architectures
that support high-volume and real-time processing.
Build, maintain, and optimize
ETL workflows and data pipelines
for analytics and reporting.
Ensure
data integrity, quality, and security
through proper validation, cleansing, and governance.
Work closely with
data scientists, analysts, and business teams
to deliver reliable data solutions.
Perform
data modeling, database design, and query optimization
for performance and scalability.
Monitor and maintain
data infrastructure
to ensure availability and reliability.
Stay updated on
emerging data engineering tools and technologies
to enhance efficiency.
Participate in
code reviews, sprint planning, and collaborative discussions
to drive improvement.
Requirements
Bachelor's degree
in Computer Science, Engineering, or related discipline (Master's preferred).
2-5 years of experience
in data engineering, ETL, or data integration.
Strong technical skills in
SQL, NoSQL, Spark, Python, and/or Java
.
Hands-on experience in
data pipelines, warehousing, and real-time analytics
.
Excellent
analytical, troubleshooting, and problem-solving
abilities.
Strong communication and collaboration skills within cross-functional teams.
Ability to handle multiple projects in a
fast-paced, dynamic environment
.
Commitment to
data security and confidentiality
standards.
Job Type: Full-time
Pay: RM7,000.00 - RM10,000.00 per month
Application Question(s):
Do you have at least 2 years of hands-on experience building and maintaining ETL pipelines using SQL, Python, or Spark?
Work Location: In person
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