Lead Data Engineer

Pos Malaysia; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

A leading logistics company in Kuala Lumpur is seeking a highly motivated Data Engineer. In this role, you'll architect and implement scalable data solutions using AWS and develop robust ETL/ELT pipelines. You will collaborate closely with stakeholders to deliver user-friendly solutions and ensure the reliability and performance of data systems. The ideal candidate will have at least 8-10 years of experience in data engineering, with proficiency in SQL and Python. Join us to make a significant impact during this transformational journey.

Qualifications

• 8-10 years of experience in data engineering, with 5 years in cloud environments (AWS preferred).
• Experience managing data models and pipelines in large-scale environments.
• Proficiency in AWS tools.
• Strong SQL and Python skills.

Responsibilities

• Architect and implement scalable data solutions using AWS.
• Develop and maintain ETL/ELT pipelines for clean, structured datasets.
• Ensure reliability and performance of data solutions.
• Collaborate with stakeholders to deliver data solutions.

Skills

AWS services (S3, Glue, Redshift, Lambda, Step Functions)

SQL

Python

Data modeling

Data transformation

Problem-solving

Collaboration

Data governance

Tools

Power BI

Snowflake

Databricks

Job description

At Pos Malaysia, we're passionate about building trust to connect lives and businesses for a better tomorrow. As we transform this incredible 200-year-old business, we're seeking a highly motivated, engaged, and driven Data Engineer to join our team. If you're excited by transformation and the significant opportunity it represents, we encourage you to apply.

Own It

• Architect and implement scalable data solutions using AWS services like S3, Glue, Redshift, Lambda, and Step Functions.
• Develop and maintain robust ETL/ELT pipelines that transform raw data into clean, structured, and production-ready datasets.
• Ensure the reliability and high performance of all data solutions from design to operation.

Build Trust

• Establish and enforce strong data governance, security, and quality controls across all pipelines and datasets.
• Write clean, well-documented code and champion best practices in testing, automation, and version control.
• Consistently engage with internal counterparts in solving issues, fostering strong working relationships.

One Team

• Collaborate closely with analysts, business stakeholders, and IT teams to understand data needs and deliver user-friendly solutions.
• Contribute to a knowledge-sharing culture and help elevate the team's technical standards.
• Develop positive working relationships with customers, partners, and other department staff.

Move Fast

• Continuously refine and optimize data models (e.g., star schemas) to boost reporting efficiency.
• Proactively identify and resolve performance bottlenecks and inefficiencies in data workflows.
• Adapt, simplify, and act quickly based on dynamic business needs and market changes.
• Enjoy working in a fast-moving transformation journey, embracing change and driving progress.

Delight the Customers

• Build reliable datasets and pipelines that empower stakeholders to self-serve insights.
• Translate business questions into effective data solutions that drive better decision-making and improved customer outcomes.

Requirements

• Minimum 8-10 years in data engineering, with at least 5 years in cloud-based environments (preferably AWS).
• Experience building and managing data models and pipelines for large-scale data environments.
• Proficiency in AWS tools: S3, Glue, Redshift, Lambda, Step Functions.
• Strong SQL and Python skills for data transformation and automation.
• Hands-on experience with various data sources, including structured and unstructured data.
• Solid grasp of data warehousing concepts, data modeling, and modern ELT/ETL practices.
• Strong problem-solving skills and ability to work independently within a cross-functional team.
• Ability to work independently while fostering teamwork and collaboration across various business units.
• Proven ability to thrive in a fast-paced, dynamic, and transformative environment, embracing change and driving progress.
• Strategic thinker with strong analytical skills and robust problem-solving abilities.
• Excellent communication and negotiation skills, capable of engaging effectively with diverse stakeholders.

Preferred Requirements

• Experience building data warehouses for a large enterprise.
• Experience with Power BI, Snowflake on AWS, or Databricks.
• Familiarity with DevOps practices such as CI/CD.
• Understanding of AWS-based data security and governance best practices.

This is a super exciting time to be joining Pos Malaysia. Your contribution will help us to write the next chapter in our history.