Data Engineer

What You Will Do

• Maintain, enhance, and support DBT models to transform raw data into trusted, analytics-ready datasets on Snowflake.
• Build and operate and optimize enterprise data ingestion pipelines (Qlik Replicate, NiFi, Fivetran).
• Support the transition and knowledge transfer of enterprise data products from project implementation teams into business-as-usual operations.
• Design and implement scalable data models following enterprise standards.
• Ensure data quality, integrity, and governance across datasets.
• Analyze business and functional requirements and translate them into technical data solutions and specifications.
• Monitor, troubleshoot, and optimize production data workflows.
• Collaborate closely with Product Owners, Solution Architects, Functional Analysts, and Data Engineers within an Agile delivery environment.
• Maintain clear technical documentation, data lineage, operational runbooks, and support procedures for data products and pipelines.

What We're Looking For

• Bachelor's degree in Computer Engineering, Computer Science, IT, or related fields.
• 3–5 years of hands-on experience as a Data Engineer, ETL/ELT Engineer, or similar role.
• Strong SQL and data modeling skills, including dimensional modeling and star schema design.
• Hands-on experience with Snowflake and DBT in enterprise-scale data platforms.
• Experience building and supporting data integration solutions using tools such as Qlik Replicate, Apache NiFi, Fivetran, or similar technologies.
• Experience with cloud-based data platforms and DevOps practices, including GitHub, CI/CD, and version control.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).