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, ML model deployment pipelines, and internal platform frameworks for data delivery.
Domain
Marketing technology, customer data management, and cloud data engineering.
Deliverable
production ML models
Required skills
Advanced Python, Cloud platforms (Azure, AWS, GCP), Big data technologies (Databricks, Snowflake, BigQuery), Relational and NoSQL databases, Streaming services (Kafka, Event Hubs), Orchestration and ETL (Airflow, dbt, AWS Step Functions), CI/CD tools (Azure DevOps, GitHub Actions, Jenkins), Infrastructure as Code.
Preferred skills
Business Intelligence tools (Power BI, Tableau, Looker), Web-tracking frameworks (Adobe Analytics, Google Analytics), Salesforce Cloud services.
Responsibilities
Design and implement data ingestion and processing using public cloud services; Collaborate with data scientists on ML model deployment and optimization; Develop data pipelines to provide actionable insights into marketing automation; Use infrastructure as code and CI/CD tools to automate release pipelines; Support pre-sales by proposing technical solutions and accurate effort estimation.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/R1132490-senior-data-engineer-at-dentsuaegis)
