•Apply data security and governance best practices
•Build and maintain streaming and real time pipelines
•Collaborate with data scientists on ML initiatives
•Communicate technical designs and project status
•Define and document schemas and workflow automation standards
•Design data warehouse and datamart structures
•Design, build, and optimize ETL/ELT pipelines
•Diagnose and resolve pipeline failures and performance issues
•Evaluate AI assisted patterns and build tools and automations
•Lead data warehouse migration architecture delivery
•Mentor junior and mid-level data engineers
•Own data engineering projects and pipeline delivery
•Health insurance
•Hybrid work flexibility
•Learning budget
•Performance bonuses
Технологии: A/B, A/B Testing, Apache Airflow, B testing, Cloud Data, Cloud Data Warehouse, Data Governance, Data Mart, Data Modeling, Data Security, Data Warehouse, Data Warehousing, Data pipeline, Data pipeline orchestration, ELT, ETL, Entity Relationship Modeling, Entity relationship, Golang, Java, Linux, Linux Shell, Linux Shell Scripting, MLOps, Machine Learning, Machine Learning Pipelines, NoSQL, Normalization, Pipeline Orchestration, Python, Real Time, Real-time Processing, Relationship Modeling, SQL, Scala, Shell Scripting, Streaming Data, Time processing