You will act as a Data Champion, driving data quality, reliability, and observability standards across platforms
Job Summary
You will act as a Data Champion, driving data quality, reliability, and observability standards across platforms.
You will rapidly improve critical data processing and analytics pipelines while solving hard problems around reliability, resiliency, and scalability.
You will partner with different teams within the organization to understand business needs and requirements and own critical data pipelines end-to-end.
Matching Summary
You will act as a Data Champion, driving data quality, reliability, and observability standards across platforms.
Skills & Requirements
Must-have
Python, SQL, Spark, Flink, Presto, Iceberg
AWS, Azure, or GCP cloud architectures
Data pipeline design and maintenance
ETL/ELT workflow development
Data modeling and large-scale processing
Streaming architectures and Flink
AI-assisted development tools
Nice-to-have
Product-focused mindset
Growth mindset
Data analysis and data mining
Identity, access, compliance datasets
Model Context Protocol (MCP) servers
Key Requirements
6–8 years of experience in data engineering
Bachelor's degree in Computer science or equivalent
Experience with Looker and/or Power BI
Experience with Git and Jenkins CI
Experience with Jupyter, EMR Notebooks, or Apache Zeppelin
Familiarity with AI/ML techniques in data engineering