Job Description

Aditya Consulting is indeed well-positioned as a specialized recruitment consulting firm, serving a diverse range of industries with tailored solutions. Here's a concise summary:
Aditya Consulting specializes in:
- IT Brands: Sourcing technical talent across software development, IT infrastructure, cybersecurity, and data science.
- Start-ups: Assisting in team-building and workforce scaling for dynamic start up environments.
- Ad and Interactive Agencies: Sourcing talent for advertising, digital marketing, social media management, and interactive media development.
- Design Firms: Recruiting creative talent in graphic design, UX/UI design, and industrial design.
- Industrial Sector: Focusing on engineering, manufacturing, supply chain management, and industrial design roles.
- Sales/Finance/Marketing: Recruiting professionals to drive revenue growth and manage financial and marketing strategies
The Role
Note: Candidates should be based in Malaysia.
About the Role
We're looking for a seasoned Data Engineer who can design, build, and scale data platforms that power intelligent decision-making. You'll play a key role in managing complex datasets, ensuring data quality, and driving the evolution of our enterprise data infrastructure. This role is ideal for someone who enjoys solving data challenges at scale and working at the intersection of business and technology.
Key Responsibilities

• Design, build, and optimize end-to-end data pipelines across multiple environments (on-prem, cloud, hybrid).
• Architect and maintain robust data models across domains such as customer, product, network, and usage.
• Manage and integrate data from diverse sources -- including data lakes, warehouses, and lakehouses (Snowflake, BigQuery, Hadoop, Databricks, etc.).
• Implement data validation, deduplication, and reconciliation frameworks to ensure data accuracy and reliability.
• Maintain compliance with global data privacy and telecom regulations (GDPR, PDPA, CCPA).
• Collaborate closely with data scientists, analysts, and business teams to deliver clean and trusted datasets.
• Monitor and fine-tune pipeline performance for latency, throughput, and cost efficiency in both batch and streaming environments.
• Drive automation of data operations, including deployment, testing, and monitoring.
• Evaluate and adopt emerging tools in data engineering and real-time processing.
• Contribute to the ongoing evolution of our data architecture -- including modernization, cloud migration, and event-driven systems.

Ideal Profile
What You'll Bring

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5-10 years of experience in data engineering, preferably within telecom, digital, or large-scale enterprise environments.
• Hands-on experience with large, complex datasets such as Call Detail Records (CDRs) or network logs.
• Advanced proficiency in SQL, NoSQL, and modern cloud data platforms (Snowflake, BigQuery, Databricks, Hadoop).
• Strong understanding of data governance, metadata management, and cataloging principles.
• Proven ability to work cross-functionally and translate business needs into scalable data solutions.
• Certification in CDMP or related data management credentials is a plus.
• Excellent problem-solving, communication, and stakeholder management skills.

What's on Offer?

• Leadership Role
• Excellent career development opportunities
• Work within a company with a solid track record of success

Skills Required