Tasks:
- * Build data visualizations, reports, and alerts
- * Build real-time and batch data processing solutions
- * Clean, transform, and impute data for modeling
- * Define business requirements, KPIs, and acceptance criteria
- * Design develop and maintain data systems and pipelines
- * Develop fixes using observability and analytics tools
- * Ingest process and store large scale data
- * Integrate data science solutions with streaming architectures
- * Integrate relational and non relational data sources
- * Maintain CI CD deployment pipelines
- * Maintain data schemas and define data platform upgrades
- * Monitor data systems and diagnose reliability issues
- * Participate in design reviews and architectural discussions
- * Review code and configuration changes
Perks/Benefits:
- + 401k
- + Dental insurance
- + Employee discounts
- + Hybrid work schedule
- + Medical insurance
- + Paid leave
- + Tuition reimbursement
- + Vision insurance
Skills/Tech stack required:
[Agile] [Amazon Web Services] [Amazon Web Services (AWS)] [Automated testing] [Batch Processing] [Big Data] [CI/CD] [Cloud Computing] [Content delivery] [Content Delivery Networks] [Content delivery networks (CDNs)] [Databricks] [Data Engineering] [Data Modeling] [Data Observability] [Data pipeline] [Data Pipeline Development] [Data Processing] [Data Visualization] [Distributed Systems] [ETL] [Google Cloud] [Google Cloud Platform] [Google Cloud Platform (GCP)] [Kanban] [NoSQL Databases] [Pipeline Development] [Relational databases] [Scrum] [Site Reliability] [Site Reliability Engineering] [Site reliability engineering (SRE)] [Snowflake] [Software repositories] [SQL] [Streaming Data]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Data Engineer] [Engineer] [Senior Data Engineer]