Senior Data Analytics Engineer
Core
Architect and scale modern data pipelines, build resilient data models, and ensure the reliability of BI reporting and ML platforms for a global D2C brand growth engine.
Role type
Senior Data Analytics Engineer (Data Engineering & ML Infrastructure)
Builds
End-to-end ETL/ELT pipelines, production data models, BI dashboards, and operationalized ML environments
Domain
E-commerce, Consumer Tech, Marketing Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced SQL, Python (OOP), Apache Airflow, AWS (Redshift, S3, Glue, Athena, Lambda), CI/CD, Docker, Kubernetes/ECS/EKS, BI platforms (Tableau/Quicksight)
Preferred skills
dbt, modern ELT frameworks, e-commerce and marketing analytics expertise (CAC, ROAS, LTV)
Responsibilities
Architect and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows; Design and optimize SQL transformations and high-quality data models; Establish data governance, monitoring, alerting, and anomaly detection; Operationalize ML models in batch/real-time environments; Optimize complex SQL queries and large-scale datasets for performance and cost on AWS; Partner with cross-functional teams to define and report on core business metrics
Seniority
Senior, hands-on IC
