Acting as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT

Understanding complex business requirements and translating them into effective, insightful dashboards that support decision-making

Building secure and scalable ELT data pipelines in Airflow and GCP

Creating and maintaining comprehensive documentation for both core and business-specific data assets to ensure clarity and consistency across the organisation

Ensuring data models are accurate, complete, and reliable by managing the integrity and quality of all data assets

Continuously improving the performance of DBT models by applying best practices in query design and data transformations

Collaborating with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes

We would love to hear from you if you are/have…





At least 4 years in the data space as an analytics engineer / data analyst

Advanced proficiency in SQL, DBT and Big Query knowledge is a plus

Basic knowledge of Python programming

Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus

Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus

Ability to connect the dots between technical implementation work and business context DE role expectation

“we are keen to look for profiles that are more technical, preferably with data engineering experience, also preferably having experience with marketing data, specifically CRM and media.”

📌 Senior Data Engineer (India)
🏢 Deltacubes
📍 India