(Senior) Data Engineer
Core
Design and build big data architecture pipelines for data lake houses in the cloud, optimize and productionize machine learning and predictive models, and develop data pipelines for marketing automation and customer acquisition.
Role type
Senior Data Engineer
Builds
Data lakehouse architectures, production ML pipelines, and internal platform frameworks for international brands.
Domain
Digital marketing, customer experience, and data science.
Deliverable
production ML models | data pipelines | dashboards & analysis
Required skills
Advanced Python, cloud data services (Azure/AWS/GCP), big data technologies (Databricks, Snowflake, etc.), relational and NoSQL databases, streaming technologies (Kafka), orchestration/ETL tools (Airflow, dbt), CI/CD automation.
Preferred skills
Business intelligence tools (Power BI, Tableau), web-tracking frameworks (Adobe/Google Analytics), Salesforce Cloud services.
Responsibilities
Design and implement data ingestion and processing using public cloud services; optimize existing data delivery and infrastructure for scalability; assemble large complex data sets for data lakehouse; support ML teams in deployment and optimization of AI models; develop pipelines for actionable insights; automate release pipelines using IaC and CI/CD tools.
Seniority
Mid to Senior level, 3-7 years of experience.
