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Job Description
Structured overview of role & requirementsAbout This Role
Own the end-to-end Data Engineering lifecycle: research, design, development, testing, deployment, and maintenance of modern analytic solutions.
Manage day-to-day client relationships, lead project and team management including mentoring junior resources.
Lead pre-sales activities such as scoping, estimation, and building proofs of concept for modern analytics stacks aligned with client business goals.
Minimum Requirements
7+ years experience in business intelligence and analytics solution development.
At least 2 years hands-on experience with DBT, including project setup, YML management, and analytics engineering using cloud data platforms like Snowflake or Redshift.
Advanced SQL skills and thorough knowledge of data warehouse concepts and dimensional modeling.
Work Experience Required: 7+ years explicitly mentioned for BI and analytics, DBT experience mandatory, cloud platform experience preferred.
Ideal Candidate Profile
Experienced in managing clients and technical teams within data engineering and modern analytics environments.
Proven ability to design and implement scalable, business-ready data models and analytics solutions with DBT on cloud platforms.
Familiarity with BI tools (Sigma, Looker, Power BI) and integration tools (Fivetran, Workato) to deliver end-to-end analytics projects.