Overview
As part of our data migration project, we are seeking a talented Data Engineer to focus on the transformation layer of our data pipeline.
Job Summary
We are looking for a Data Engineer with exceptional SQL skills and experience with DBT (Data Build Tool) to handle the transformation processes within our data pipeline. The ideal candidate will play a critical role in ensuring data is accurately and efficiently transformed for visualization and analysis. Please note that this is a 6 to 8 months project, and it requires availability from Monday to Friday, 7.30 am to 3.30 pm PST.
Key Responsibilities
- Develop and maintain robust data transformation processes using SQL and DBT.
- Collaborate with the extract and load team to ensure data is properly ingested and prepared for transformation.
- Design and implement data models and transformations that support business requirements and enable data visualization.
- Optimize SQL queries and dbt models for performance and scalability.
- Ensure data integrity and consistency throughout the transformation process.
- Document data transformation processes and maintain comprehensive documentation for data workflows.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience as a Data Engineer, with a focus on data transformation.
- Strong SQL skills, with a proven track record of writing efficient and complex queries.
- At least 2 years of experience with DBT (Data Build Tool).
- Familiarity with ELT (Extract, Load, Transform) processes and principles.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
Why work for Launchpad?
- 100% remote
- People first culture
- Excellent compensation in US Dollars
- Hardware setup for working from home
- Work with global teams and prominent brands based in North America, Europe, and Asia
- Training allowances
- Personal time off (PTO) for vacations, study leave, personal time, etc.
- ...and more!
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