Responsibilities

- 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

Requirements

- 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

📌 Data Engineer (Analytics Engineer) - Freelance (Bangalore Metropolitan Area)
🏢 Keyrus
📍 Bangalore Metropolitan Area