Senior Data Engineer
Core
Design, build, and operationalize complex data solutions to support AI, ML, and BI insights for customers.
Role type
Senior Data Engineer (Client-facing)
Builds
Scalable data engineering pipelines, data consumption layers, and data solutions for customer accounts.
Domain
Data Engineering, Artificial Intelligence, Machine Learning, Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Engineering, Data Warehousing, Data Governance, Data Security, Data Quality, System Analysis, Debugging, Test Automation
Preferred skills
Public Cloud Platforms, Databricks Certification
Technologies
Spark, Hadoop, Kafka, pandas, scikit-learn, SQL, OLTP, OLAP, DSS, AWS, Azure, GCP, Databricks
Responsibilities
Design and build complex data solutions, guide customers on technical decisions, track progress across multiple accounts, analyze data sources for value, incorporate data governance and security, collaborate to educate end users, resolve defects and incidents, test data movement and transformation code.
Seniority
Senior, hands-on IC with intermediate leadership
