Data Engineer
9 hours ago
Role Description
We are looking for exceptional and highly motivated Data Engineers developers to work with a US MNC based in Puchong close to LRT. This role is open to local residents only.
The ideal candidate will have strong hands-on experience in
ETL development
,
Azure Databricks
, and
Power BI integration
, enabling efficient data flow and insight generation across the business.
This role will work closely with analysts, data scientists, and business stakeholders to ensure data is clean, reliable, and readily available for decision-making.
The work:
- Design, develop, and maintain
ETL pipelines
for data ingestion, transformation, and loading across multiple data sources. - Build and optimize data workflows and models using
Azure Databricks
and
PySpark/SparkSQL
. - Develop and maintain
data models
supporting analytics and reporting in
Power BI
. - Implement
data quality
, validation, and monitoring frameworks to ensure reliability and integrity. - Collaborate with business teams to understand reporting requirements and translate them into scalable data solutions.
- Support
data warehousing
and
data lake
solutions within Azure ecosystem (Data Lake Storage, Synapse, etc.). - Maintain and enhance
metadata
,
data lineage
, and
documentation
for all data processes. - Optimize performance of queries and pipelines for scalability and cost efficiency.
- Ensure
security
,
compliance
, and
access control
within all data environments.
Here's what you need:
- Bachelor's Degree
in Computer Science, Information Systems, Data Engineering, or related field. - 3+ years of experience in
data engineering
or related roles. - Strong hands-on experience with:
- ETL tools and frameworks
(e.g., Azure Data Factory, SSIS, or custom Python pipelines) - Databricks
(PySpark, SparkSQL, Delta Lake, cluster management) - SQL
and
relational database design
(e.g., SQL Server, Snowflake, or Azure Synapse). - Power BI
(data modelling, DAX, dataset management, dashboard integration). - Familiarity with
Azure ecosystem
(Data Lake, Synapse Analytics, Key Vault, Logic Apps). - Solid understanding of
data modelling
,
data governance
, and
best practices
for performance tuning. - Strong analytical thinking, problem-solving, and communication skills.
Bonus points if:
- Knowledge of
Python
for data manipulation and automation. - Exposure to
RAG (Retrieval-Augmented Generation)
or
AI/ML data preparation
is a plus. - Experience in
Agile development
or
DevOps
environments. - Exposure to Gen Ai and Agentic Ai
How this career will benefit you?
- A conducive environment to work and grow
- Training will be provided to help you up skill yourself
- Excellent year on year salary increment (average min 10%)
Other benefits you might be interested:
- Excellent remuneration
- Flexible working hours
- Travel allowance
- RM1000 certification allowance annually
- Annual bonus
- Insurance coverage
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