Senior Data Engineer

Jobgether; Remote; MYR 100,000 - 150,000; Full time

Job summary

A leading tech company in Malaysia is seeking a Remote DBT Data Engineer to design and implement Snowflake-based analytics solutions. The role involves creating and managing data pipelines, working collaboratively with team members, and acting as a technical leader. Candidates should possess a Bachelor's degree in Engineering or Technology and have 4-7 years of experience in data engineering. This position offers flexible working hours and access to state-of-the-art tools and technologies.

Benefits

Flexible working hours

Professional growth opportunities

Health and wellness benefits

Remote working capabilities

Qualifications

• 4-7 years in Data Engineering experience.
• Experience in creating and maintaining data pipeline architecture.
• Familiarity with data storage technologies like SQL and NoSQL.

Responsibilities

• Assist in the design and implementation of Snowflake-based analytics solutions.
• Develop best practices for Snowflake deployment and usage.
• Build and maintain data pipelines adhering to enterprise architecture principles.

Skills

Data pipeline architecture

ETL tools

Snowflake

Communication skills

Problem-solving skills

Education

Bachelor's degree in Engineering or Technology

Tools

Talend

DBT

Amazon S3

Job description

We are currently looking for a Remote DBT Data Engineer. In this role, you will play a crucial part in designing and implementing Snowflake-based analytics solutions, including data lakes and data warehouses on AWS. Your expertise will guide the creation of data pipelines and integration workflows while collaborating with various team members. You will educate others on Snowflake's capabilities and limitations, ensuring that the best practices are followed. By acting as a technical leader, you'll help the team deliver high-quality solutions in an Agile environment.

Accountabilities

• Assist in the design and implementation of Snowflake-based analytics solutions.
• Define requirements and analyze source data for data lake and warehouse design.
• Develop best practices for Snowflake deployment and usage.
• Educate team members on capabilities and limitations of Snowflake.
• Build and maintain data pipelines adhering to enterprise architecture principles.
• Work collaboratively with data architects, scientists, and analysts to resolve technical issues.
• Act as a technical leader within the team, ensuring quality deliverables.
• Translate complex functional requirements into technical solutions.

Requirements

• Bachelor's degree in Engineering, Technology, or equivalent with 4-7 years in Data Engineering.
• Experience in creating and maintaining data pipeline architecture.
• Proficiency with ETL tools like Talend, DBT, S3, and Snowflake.
• Familiarity with data storage technologies like Amazon S3, SQL, and NoSQL.
• Strong understanding of data modeling and architecture principles.
• Ability to work with stakeholders across different time zones.
• Excellent communication and problem-solving skills.

Benefits

• Flexible working hours to accommodate different time zones.
• Opportunity for professional growth and development.
• Collaborative team environment with a focus on innovation.
• Access to the latest tools and technologies in data engineering.
• Health and wellness benefits.
• Remote working capabilities for a better work-life balance.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.