Senior DBT Data Engineer

Jobgether; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology hiring platform seeks a Remote DBT Data Engineer to design and implement Snowflake-based analytics solutions. You will educate team members on best practices, build data pipelines, and work alongside data architects in an innovative, collaborative environment. The ideal candidate should have a Bachelor's degree in Engineering or Technology and 4-7 years of experience in Data Engineering, with proficiency in ETL tools and data modeling. This position offers flexible working hours and remote capabilities.

Benefits

Flexible working hours

Professional growth opportunities

Collaborative team environment

Access to latest tools

Health and wellness benefits

Better work-life balance

Qualifications

• 4-7 years experience in data engineering roles.
• Proven ability to create and maintain data pipeline architecture.
• Strong understanding of data storage technologies.

Responsibilities

• Design and implement Snowflake-based analytics solutions.
• Build and maintain data pipelines adhering to enterprise architecture principles.
• Educate team members on Snowflake's capabilities.

Skills

ETL tools like Talend

DBT

S3

Snowflake

Data modeling

Communication skills

Problem-solving skills

Education

Bachelor's degree in Engineering or Technology

4-7 years experience in Data Engineering

Tools

Amazon S3

SQL

NoSQL

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.