Sr. Analytics Engineer - Data Warehouse (Hybrid, Bangalore)
Core
Lead the architecture and implementation of efficient data transformation systems within Snowflake to transform raw data into usable datasets for DS/ML, analytics, and reporting.
Role type
Senior Analytics Engineer (Data Warehouse)
Builds
Governed, reliable, and scalable analytics systems (DW/DV) and clean, documented data products
Domain
SaaS / Data Engineering
Deliverable
production ML models | product features
Required skills
Data Vault 2.0, dbt, Snowflake, SQL, Airflow, GitLab, Terraform, AWS (S3, EC2, VPC), data modeling, data governance, CI/CD
Preferred skills
Data Vault AutomateDV, semantic layers, self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight), data masking strategies
Technologies
Snowflake, dbt, Airflow, GitLab, Terraform, AWS, Amplitude, Thoughtspot, Tableau, Gainsight
Responsibilities
Lead implementation of scalable data transformation systems from data lake to data products; Design and maintain architectural principles for analytics systems; Collaborate with BI analysts and data scientists on data accessibility; Create data testing plans for validation and quality assessment; Mentor teams and conduct design reviews; Define data masking strategies aligned with compliance standards (GDPR, HIPAA, CCPA)
Seniority
Senior, hands-on IC with mentorship
