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Data Engineer

Merican

Data Engineer

Make your impact within a rapidly growing Fintech Company

  • The Data Operations team builds capabilities and owns practices that enable seamless data usage across the company.
  • The team collaborates with stakeholders to understand requirements, develop scalable solutions, solicit feedback, deploy models, and ensure high-quality data products.
  • Engineers on the Data Operations team bring a pragmatic approach to building robust, efficient, and well-documented data models. They balance speed with accuracy, ensuring that our data infrastructure evolves to meet the needs of our growing business.

Responsibilities:

  • You will be responsible for supporting the migration of dbt models from Redshift and Snowflake to Trino (Iceberg) while ensuring compatibility, performance, and best practices in our evolving infrastructure.
  • Your role will require a deep understanding of SQL dialects, data modeling principles, and dbt best practices.
  • You will collaborate with both engineering and analytics teams to ensure seamless model transitions and maintain quality standards.
Specifically, you will:
  • Fix Redshift and Snowflake SQL Syntax to Trino Syntax in our dbt models.
  • Version control dbt models via Git.
  • Refactor and optimize data models, ensuring they align with best practices for Iceberg.
  • Work with Tableau assets, ensuring data sources align with the new infrastructure.
  • Collaborate with workbook owners to validate and test the impact of migration work.
  • Engage in daily standups and work alongside engineers to execute migration priorities efficiently.
We'd Love to Chat if You Have:
Qualifications
  • BS/BA in Computer Science, Information Systems, Mathematics, or a related technical field (or equivalent work experience).
  • 2+ years of experience in a data engineering, BI, or analytics role.
  • 1+ years of experience working in financial services and/or SaaS companies.
  • Experience in dbt and modern data modeling best practices.
  • Version controlling via Git is a must
  • Experience working in startup environments is a plus.
Competencies (Attributes Necessary for Success in this Role):
  • Strong proficiency in SQL, with experience in Multiple SQL Syntaxes (Redshift, Snowflake, and Trino (Iceberg).
  • Deep understanding of dbt, including model development, macros, and Jinja templating.
  • Experience with BI tools, such as Tableau, and a working knowledge of data source construction.
  • Strong stakeholder communication skills, particularly in guiding teams through infrastructure changes.
  • Experience refactoring SQL and dbt models to support infrastructure migrations.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Vacancy posted 1 day ago
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