Data Engineer

Aetherion Dataworks Sdn. Bhd.; Malaysia; On-site; MYR 80,000 - 120,000; Full time

Job summary

Aetherion Dataworks Sdn. Bhd. is seeking a Data Engineer to join our Data Science & AI team in Malaysia. You will design, build, and optimize data pipelines, integrating Snowflake, Python, SQL, APIs, and Tableau to empower analytics across the organization.

You'll collaborate with data analysts, data scientists, and business stakeholders to deliver scalable solutions, maintain data quality, and document best practices. 1+ years' experience required; degree in CS or related field preferred.

Qualifications

• 1+ years of experience in data engineering, data warehousing, or a related field.
• Bachelor’s degree or higher in Computer Science, Data Engineering, or a related field.
• Strong proficiency in Python, SQL, and experience with API integrations.
• Hands-on experience with Snowflake and Tableau.
• Solid understanding of ETL processes, data architecture, and pipeline optimization.
• Proven ability to work with large datasets and ensure data quality and scalability.
• Strong analytical and problem-solving skills with an eye for detail.
• Excellent communication skills and a collaborative mindset.
• Experience with cloud platforms (Snowflake, AWS or GCP) and data streaming is a plus.

Responsibilities

• Design, Develop, and Optimize Data Pipelines: Build scalable ETL processes using Snowflake, Python, and SQL to handle large volumes of data efficiently.
• Data Integration: Extract, transform, and load data from various sources using APIs and other integration tools to consolidate data into our data warehouse.
• Database Management and Optimization: Manage and fine-tune Snowflake databases to ensure high availability, performance, and data integrity.
• Data Visualization Support: Collaborate with the BI team to create insightful dashboards and reports using Tableau, supporting data-driven decision-making.
• Cross-Functional Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.
• Documentation and Best Practices: Develop comprehensive documentation for data processes, pipelines, and best practices to enhance system reliability.

Skills

Python

SQL

API integrations

ETL

Data architecture

Pipeline optimization

Data quality

Analytical thinking

Communication

Collaboration

Education

Bachelor’s degree or higher in Computer Science or Data Engineering

Tools

Snowflake

Tableau

AWS

Google Cloud Platform

Kafka

Apache Spark

Job description

We are looking for a skilled Data Engineer to join our Data Science & AI team. In this role, you will be responsible for building and optimizing data pipelines, integrating various data sources, and supporting our data analytics capabilities using technologies such as Snowflake, Python, SQL, APIs, and Tableau. This position offers the opportunity to play a pivotal role in shaping our data infrastructure and ensuring seamless data flow across the organization.

What we offer

A dynamic and fast-paced environment where effective team players thrive.

Opportunities for professional and personal development.

Comprehensive training and ongoing coaching to ensure your success.

Key responsibilities

Design, Develop, and Optimize Data Pipelines: Build scalable ETL processes using Snowflake, Python, and SQL to handle large volumes of data efficiently.

Data Integration: Extract, transform, and load data from various sources using APIs and other integration tools to consolidate data into our data warehouse.

Database Management and Optimization: Manage and fine-tune Snowflake databases to ensure high availability, performance, and data integrity.

Data Visualization Support: Collaborate with the BI team to create insightful dashboards and reports using Tableau, supporting data-driven decision-making.

Cross-Functional Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.

Documentation and Best Practices: Develop comprehensive documentation for data processes, pipelines, and best practices to enhance system reliability.

Qualifications & requirements

1+ years of experience in data engineering, data warehousing, or a related field.

Bachelor’s degree or higher in Computer Science, Data Engineering, or a related field.

Strong proficiency in Python, SQL, and experience with API integrations.

Hands-on experience with Snowflake and Tableau.

Solid understanding of ETL processes, data architecture, and pipeline optimization.

Proven ability to work with large datasets and ensure data quality and scalability.

Strong analytical and problem-solving skills with an eye for detail.

Excellent communication skills and a collaborative mindset.

Preferred Qualification

Experience with cloud platforms such as Snowflake, AWS or Google Cloud Platform (GCP).

Familiarity with data streaming technologies (e.g., Kafka, Apache Spark).

Understanding of data governance, privacy, and compliance standards.