Data Analyst

Strato Solutions Sdn Bhd; Selangor; On-site; MYR 70,000 - 110,000; Full time

Job summary

Strato Solutions Sdn Bhd is hiring a Data Engineer to design and build scalable data pipelines, cleanse and transform data, and design efficient data models for warehouses and data lakes.

You will work on end-to-end data integration projects, collaborating with analytics and backend teams to ensure reliable, high-performance data delivery across multiple sources and platforms.

Qualifications

• Minimum 2-5 years of experience in data engineering or related roles.
• Experience building end-to-end data pipelines using ETL/ELT tools and programming languages.
• Hands-on experience with SQL and relational & NoSQL databases.
• Experience with cloud platforms (AWS, Azure or GCP).
• Experience with big data, data warehouse or data lake solutions.
• Experience with orchestration tools and workflow scheduling.
• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering or related field.
• Strong foundation in data structure, algorithms and programming.
• Good understanding of databases, SQL and data warehousing concepts.
• Knowledge of data engineering principles, architectures and best practices.

Responsibilities

• Design and build scalable pipelines to ingest data from multiple sources (APIs, databases, files, streaming, logs, etc.).
• Cleanse, transform and enrich data using ETL/ELT processes to ensure accuracy, consistency and business readiness.
• Design efficient data models and schemas for data warehouses, data lakes and analytical platforms.
• Design, implement and optimize storage solutions including data lakes, warehouse and databases.
• Implement validation, quality checks, metadata management and data governance best practices.
• Schedule, monitor and automate data workflows using orchestration tools for reliability and performance.
• Tune pipelines, queries and data architectures for performance, scalability and cost-efficiency.
• Implement logging, monitoring, alerting and recovery strategies to ensure data reliability.
• Work closely with data analytics, data scientists, backend developers and business stakeholders.

Skills

ETL/ELT pipelines

SQL

NoSQL databases

Data modeling

Programming

Education

Bachelor's degree

Tools

AWS

Azure

GCP

Airflow

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Location: Sunway Nexis, Kota Damansara
Contract Duration: 12 Months (Renewable)
Notice period: Immediately or within short notice

About the role

You will design and build scalable pipelines to ingest data from multiple sources, cleanse and transform data using ETL/ELT processes, and design efficient data models for data warehouses and analytical platforms.

Key responsibilities

Design and build scalable pipelines to ingest data from multiple sources (APIs, databases, files, streaming, logs, etc.)

Cleanse, transform and enrich data using ETL/ELT processes to ensure accuracy, consistency and business readiness

Design efficient data models and schemas for data warehouses, data lakes and analytical platforms

Design, implement and optimize storage solutions including data lakes, warehouse and databases

Implement validation, quality checks, metadata management and data governance best practices

Schedule, monitor and automate data workflows using orchestration tools for reliability and performance

Tune pipelines, queries and data architectures for performance, scalability and cost-efficiency

Implement logging, monitoring, alerting and recovery strategies to ensure data reliability

Work closely with data analytics, data scientists, backend developers and business stakeholders

About you

Minimum 2-5 years of experience in data engineering or related roles

Experience building end-to-end data pipelines using ETL/ELT tools and programming languages

Hands-on experience with SQL and relational & NoSQL databases

Experience with cloud platforms (AWS, Azure or GCP)

Experience with big data, data warehouse or data lake solutions

Experience with orchestration tools and workflow scheduling

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering or related field

Strong foundation in data structure, algorithms and programming

Good understanding of databases, SQL and data warehousing concepts

Knowledge of data engineering principles, architectures and best practices