Description

You will build and maintain data products and centralized data layers using ELT frameworks, DBT, and AWS to enable data-informed decision-making.

This role is on-site.

Responsibilities

• Collaborate with business stakeholders to gather requirements and deliver scalable data products.
• Transform raw or semi-structured data into contextualized data models using DBT and AWS.
• Partner with AI and ML teams to provide the data infrastructure for internal tools.
• Write documented, tested, and DRY code following best practices within DBT.
• Manage the analytical lifecycle to ensure accurate, timely data delivery to internal consumers.

Required Skills

• SQL and Python for data manipulation and scripting.
• Experience with DBT for data transformation and modeling.
• Proficiency in AWS data services.
• Strong understanding of Data Modeling and ELT processes.
• Hands-on experience with Git for version control.
• Familiarity with Agile methodologies.
• Background in Analytical Engineering or Data Engineering.
• 1-3 years of relevant experience.

Preferred Skills

• Experience with Spark, Airflow, or CDP platforms like Impala and Athena.
• Familiarity with BI tools such as Tableau, Power BI, or Looker.
• Knowledge of AI, ML, or predictive modeling concepts.

Key Skills

Education

Any Graduate