IT Analyst

Jobtailor; Petaling Jaya; On-site; MYR 150,000 - 240,000; Full time

Job summary

Jobtailor is seeking an experienced Data Engineer to design and optimize cloud-based data pipelines using Snowflake and Microsoft Azure. You will shape data models, governance and data products for analytics, AI, and GenAI applications, while leading design reviews and ensuring secure, scalable delivery across markets.

You will mentor peers, collaborate with cross-functional teams and drive CI/CD practices to maintain high reliability and data quality in a complex, multi-market environment.

Qualifications

• Bachelor-level education or equivalent experience in a data engineering discipline.
• 5+ years of experience delivering enterprise-scale cloud data solutions.
• Strong hands-on experience with Snowflake and Microsoft Azure platforms.
• Experience with SQL, ETL/ELT, APIs and data modelling for enterprise use.
• Experience across multi-market environments and data governance concepts.

Responsibilities

• Design, build and optimise scalable cloud-based data ingestion, transformation, harmonisation and serving pipelines.
• Design and manage cloud data solutions using Snowflake, Microsoft Azure, Azure Data Factory, Azure data services and Databricks.
• Develop reusable, well-documented data products for business use.
• Define data models, interfaces, metadata, lineage and retention controls.
• Lead technical design, code reviews, testing and release quality for complex data initiatives.
• Support analytics, automation and AI use cases across multiple markets.
• Own the technical health, availability and performance of cloud data services.
• Implement monitoring, data quality rules, anomaly detection and root-cause management.
• Apply DataOps, DevOps and CI/CD practices.
• Optimise Snowflake workloads, cloud capacity, storage and compute.
• Ensure security, privacy, architecture and data governance compliance.
• Implement RBAC, audit logging and controlled release practices.
• Establish data quality rules, ownership and governance with stakeholders.

Skills

Snowflake Data Engineering

Microsoft Azure Data Services

DataOps & DevOps

SQL & ETL/ELT

Stakeholder Management

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Technology

Bachelor's Degree in Data Engineering

Tools

Snowflake

Microsoft Azure

Azure Data Factory

Databricks

APIs

Job description

• Design, build and optimise scalable cloud-based data ingestion, transformation, harmonisation and serving pipelines
• Design and manage cloud data solutions using Snowflake, Microsoft Azure, Azure Data Factory, Azure data services and Databricks
• Develop reusable, well-documented and business-ready data products
• Define data models, interfaces, metadata, lineage, retention and lifecycle controls
• Lead technical design, code reviews, testing and release quality for complex data initiatives
• Support MYSG analytics, automation and AI use cases
• Own the technical health, availability and performance of MYSG cloud data services
• Implement monitoring, alerting, data quality rules, anomaly detection and root-cause management
• Apply DataOps, DevOps and CI/CD practices
• Optimise Snowflake workloads, cloud capacity, storage and compute consumption
• Ensure compliance with security, privacy, architecture and data governance requirements
• Implement role-based access, audit logging, segregation of duties and controlled release practices
• Establish data quality rules, ownership and certification with data governance stakeholders
• Maintain audit readiness and remediate identified risks and findings
• Translate business objectives and data requirements into scalable technical solutions
• Prepare trusted, discoverable and machine-consumable datasets for analytics, machine learning, GenAI and agentic solutions
• Partner with Commercial, Finance, Supply Chain, Technical & Production, MDO, regional ADI and enterprise data teams
• Mentor ADI colleagues, conduct peer reviews and share engineering practices
• Coordinate technology partners and vendors
• Define technical acceptance criteria and manage delivery quality, documentation, supportability and knowledge transfer
• Identify and escalation delivery, performance, compliance and commercial risks

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Engineering or a related discipline, or equivalent experience
• 5+ years of experience (as stated in the Position Snapshot)
• Strong hands-on experience delivering enterprise-scale cloud data engineering or data platform solutions
• Practical experience with modern cloud data management platforms, preferably Snowflake and Microsoft Azure
• Strong expertise in Snowflake, including data modelling, workload design, performance optimisation, access management and cost-conscious use of compute and storage
• Strong working knowledge of Microsoft Azure data services, including Azure Data Factory and Azure data storage
• Technical knowledge of SQL, ETL/ELT, APIs, integration patterns and enterprise data modelling
• Experience with Enterprise Data Domains, data products, metadata, lineage, cataloguing, data quality and observability
• Understanding of AI-ready data architecture, semantic models and ML/GenAI data requirements
• Experience with DataOps, DevOps, CI/CD, testing, release management and operational readiness
• Working knowledge of security, privacy, RBAC, audit controls and segregation of duties
• Strong stakeholder management and business partnering skills
• Experience working across a complex, multi-market and virtual environment
• Demonstrated experience in mentoring, peer review, technical standards and knowledge sharing

Core Competencies

Demonstrates expertise in designing and managing scalable cloud data solutions using Snowflake and Microsoft Azure, with a strong focus on data quality, governance, and compliance. Proven ability to lead complex data initiatives, mentor teams, and translate business objectives into technical solutions.

Highest-signal resume keywords

• Snowflake Data Engineering
• Microsoft Azure Data Services
• DataOps and DevOps Practices
• SQL and ETL/ELT Proficiency
• Stakeholder Management

ATS Optimization Keywords

Hard Skills

• Cloud Data Ingestion
• Data Transformation
• Data Modelling
• Performance Optimisation
• Workload Design
• Data Quality Rules
• Anomaly Detection
• Root-Cause Management
• CI/CD Implementation
• Audit Controls

Soft Skills

• Mentoring
• Stakeholder Management
• Business Partnering
• Collaboration
• Knowledge Sharing

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Bachelor's Degree in Information Technology
• Bachelor's Degree in Data Engineering

Industry Keywords

• Data Governance
• Data Quality
• Enterprise Data Domains
• AI-Ready Data Architecture
• Machine Learning
• GenAI

Tools & Technologies

• Snowflake
• Microsoft Azure
• Azure Data Factory
• Databricks
• APIs