Senior Data Engineer
Core
Design and implement data integration procedures and pipelines to extract, transform, and load data from various sources into modern analytics storage systems.
Role type
Senior Data Engineer
Builds
Data integration pipelines and modern analytics data storage systems
Domain
Data Engineering / Business Intelligence
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline design, ETL/ELT implementation, metadata management, data quality governance, performance optimization, system monitoring, caching strategies, indexing strategies, data validation, automation
Responsibilities
Design and implement data integration procedures and pipelines, Integrate data from internal and external sources (batch, incremental, streaming), Adopt and drive active metadata usage in data integration processes, Collaborate with analytics owners to optimize data products, Improve data quality and governance with business data owners, Educate counterparts on data pipelining and preparation techniques, Ensure data consistency and integrity during integration, Optimize data pipelines and processing workflows for performance and scalability, Monitor and tune data analytics systems, Implement data quality checks and validations within pipelines, Establish governance of data and algorithms used for analysis
Seniority
Senior, hands-on IC
