Actively hiring
Commercial & Retail Banks
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Technologies
Tech DNA
Python
SQL
Java
Hadoop
Snowflake
Amazon Redshift
BigQuery
Azure
AWS
GCP
LLM
AI/ML
Python
SQL
Machine Learning
Azure
CI/CD
Snowflake
AI Agents
Feature Store
LLM
RAG
Airflow
Hadoop
Spark
AWS
Docker
GCP
Git
Databricks
Microsoft Fabric
Amazon Redshift
BigQuery
Google BigQuery
Analytics
Azure Data Factory
Dimensional Modeling
ETL/ELT
Informatica
Talend
Other
Java
Apache Kafka
Stack modernity
80/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
SQL
2 jobs
Required
Snowflake
2 jobs
Required
Azure
2 jobs
Required
CI/CD
2 jobs
Required
Machine Learning
2 jobs
Required
Databricks
1 job
Optional
AI Agents
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
SQL
37%
Python
34%
CI/CD
26%
Git
25%
Java
23%
Docker
22%
Share of companies in the same industry that use each technology.
Stack changes
Talend
Sep 2026
Spark
Sep 2026
Java
Sep 2026
Informatica
Sep 2026
Hadoop
Sep 2026
Google BigQuery
Sep 2026
Git
Sep 2026
GCP
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
83/100
Scaling fast
Open positions
2
2 opened / 0 closed in 30 days
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
100% ▲
Activity Timeline
Added Talend to stack
Sep 2026
Added Spark to stack
Sep 2026
Added Java to stack
Sep 2026
Added Informatica to stack
Sep 2026
Added Hadoop to stack
Sep 2026
Added Google BigQuery to stack
Sep 2026
Added Git to stack
Sep 2026
Added GCP to stack
Sep 2026
Added ETL/ELT to stack
Sep 2026
Added Docker to stack
Sep 2026
Added Dimensional Modeling to stack
Sep 2026
Added BigQuery to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Kuala Lumpur
Malaysia
Regional office
If you feel that your complaint was not resolved to your satisfaction, you may call or write to:Deepak Kumar V. Patel,Cu
500-1000 est. staff
50450 Kuala Lumpur, Malaysia.
Jobs
≈ $17k – $45k per year (Estimated) • In office • Full-Time • Kuala Lumpur
Python
Java
SQL
Snowflake
Apache Kafka
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Hadoop
Spark
Airflow
Machine Learning
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Analytics
ETL/ELT
Informatica
Talend
Azure Data Factory
Dimensional Modeling
Apply
≈ $19k – $47k per year (Estimated) • In office • Full-Time • 5+ years exp • Kuala Lumpur
Python
SQL
Snowflake
Databricks
Microsoft Fabric
AI/ML
AI Agents
LLM
RAG
Feature Store
Machine Learning
DevOps
Azure
CI/CD
Apply

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