Senior Data Engineer
Core
Design and develop scalable cloud-based data pipelines to ingest, transform, and deliver trusted datasets for enterprise analytics and self-service reporting.
Role type
Senior IC data engineer (cloud data warehousing & ETL)
Builds
Centralized cloud data warehouse, automated ETL/ELT pipelines, curated analytics-ready datasets
Domain
Retail / Toy industry + Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Google BigQuery, Python, SQL, DBT, Airflow/Cloud Composer, data warehousing, ETL/ELT pipeline development, data quality frameworks, data governance
Preferred skills
Ascend.io, Databricks, Fivetran, Dataflow, Pub/Sub, Kafka, CI/CD, Git, data cataloging tools
Technologies
Google BigQuery, Python, SQL, DBT, Airflow, Cloud Composer, Ascend.io, Databricks, Fivetran, Dataflow, Pub/Sub, Kafka
Responsibilities
Lead development of scalable data integration pipelines for structured and semi-structured data; Design and build analytics-ready pipelines transforming raw data into curated datasets; Implement transformation logic using DBT for modular data models; Automate and monitor complex data workflows using Airflow/Cloud Composer; Develop efficient Python and SQL code for ingestion, transformation, and performance tuning; Establish robust data quality checks and testing strategies; Mentor junior engineers and conduct peer code reviews.
Seniority
Senior, hands-on IC with mentorship responsibilities
