Data Engineer
Core
Design, build, and maintain robust data pipelines and infrastructure to power digital and media reporting, product analytics, and advanced analytical initiatives for tier-one automotive clients.
Role type
Senior Data Engineer (Marketing & Analytics)
Builds
Scalable ETL/ELT pipelines, data models, and data ingestion streams for platforms like Amplitude, Tableau, and Snowflake.
Domain
Marketing Technology, Digital Analytics, Cloud Data Engineering
Required skills
ETL/ELT pipeline development, SQL (complex transformations, schema design), Python scripting, Cloud Platform engineering, Data Warehousing, Data Ingestion & Integration, Data Quality Assurance, Infrastructure Monitoring, Documentation & Governance
Preferred skills
Experience with enterprise-level clients, understanding of omnichannel tagging systems, familiarity with product analytics platforms (Mixpanel, Pendo), knowledge of privacy regulations (GDPR, CCPA)
Technologies
Google Cloud Platform (GCP), Matillion, Snowflake, Rudderstack, Amplitude, Tableau, Cloud Functions, Cloud Storage, BigQuery, Cloud Composer (Apache Airflow)
Responsibilities
Design and implement scalable ETL/ELT pipelines using Matillion and GCP services; Configure and manage data streams from CDPs, APIs, and raw data feeds; Develop complex SQL transformations and data schemas in Snowflake; Monitor, maintain, and optimize data infrastructure performance and cost-efficiency; Implement robust data quality checks and automated monitoring solutions; Collaborate with analytics specialists to ensure data models meet reporting needs; Create and maintain comprehensive documentation for data pipelines and models; Automate routine data management tasks using Python.
Seniority
Senior, hands-on IC
