Data Engineer (Analytics, Lakehouse, LLM & Graph)

ORTech : Your Path to Data-Driven Success

Join OR Technologies Sdn Bhd (ORTech), a leading Analytics Engineering company revolutionizing the way organizations leverage data. We're seeking talented individuals to join our team and help us empower clients with actionable insights.

As a data-centric organization, we specialize in :

Data Engineering and Data Lakehouse Implementation

Data Management and Governance

Data Insights and Analytics

AI and Machine Learning

Our expertise extends to cutting-edge platforms like Alteryx, Tableau, Dremio, Cloudian, Snowflake, AWS, and Azure.

If you're passionate about data, innovation, and driving business outcomes, we invite you to explore our career opportunities.

Location : Menara Uncang Emas, Kuala Lumpur

Responsibilities

Design, develop, and maintain robust data pipelines and ETL / ELT processes to extract, transform, and load data into data lakehouse and analytics environments .

Collaborate with analytics solution engineers, data analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

Integrate data from various sources (databases, APIs, flat files, streaming data) into unified and optimized datasets.

Implement data quality checks, governance measures, and version control to ensure data integrity, accuracy, and compliance .

Optimize data processing workflows for performance, scalability, and cost efficiency.

Participate in LLM (Large Language Model) inference development , including preparing AI-ready datasets and optimizing model integration for analytics use cases.

Support graph analytics development using graph platform and related tools for network and relationship analysis.

Maintain technical documentation for data pipelines, AI model integrations, and graph data workflows.

Stay up to date with emerging data engineering, AI, and graph analytics technologies .

Requirements

Degree / Diploma in Computer Science, Data Science, Software Engineering, or related field with a CGPA of 3.0+

Minimum 1 year of experience in data engineering, ETL development, or a related role (Fresh graduates with strong technical skills are encouraged to apply)

Proficiency in SQL and at least one programming language (Python preferred)

Understanding of data engineering concepts such as data warehousing, data lakehouse, and data modeling

Familiarity with analytics platforms such as Alteryx, Dremio, and Cloudian HyperStore is a plus

Interest or experience in AI / ML, LLM inference workflows, and / or graph analytics

Strong problem-solving skills with attention to detail

Ability to work independently and as part of a collaborative team

Additional Points

Experience with cloud platforms (AWS, Azure, GCP) is an advantage

Knowledge of data visualization tools (e.g., Tableau, Power BI) is beneficial

Familiarity with big data frameworks (e.g., Apache Spark, Iceberg) is a bonus

Understanding of version control systems (e.g., Git) is an advantage

What We Offer :

Competitive salary and benefits package

8-month contract position with potential for extension or permanent placement

Opportunities to work on impactful analytics, AI / LLM , and graph analytics projects

Collaborative and supportive work environment

Career Growth Path

At ORTECH, we offer clear career progression :

Senior Data Engineer – designing and leading complex data platform and AI integration projects.

Data Architect – overseeing data, AI, and graph analytics architecture design across multiple projects.

Analytics Engineering Lead – managing data engineering teams and strategy for AI-driven analytics.

Employment Type :

8-month contract position with the potential for permanent placement.

Are you ready to take your data analytics skills to the next level? Apply today!

#J-18808-Ljbffr