{"n":"Software Engineer Data Infrastructures","p":77,"c":17,"o":20,"m":134000,"h":64,"a":90,"rg":[["EMEA",40],["Americas",34],["APAC",26]],"b":[["Junior",8,71000,83000,96000],["Mid-level",42,97000,113000,131000],["Senior",30,119000,138000,160000],["Lead",14,133000,155000,180000],["Principal",6,163000,190000,220000]],"rl":[["AI Data Trainers","ai-data-trainers",40],["Ai Engineer & Researchers","ai-engineer-researchers",40],["AI Product Engineers","ai-product-engineers",40],["Cloud Engineering Managers","cloud-engineering-managers",40],["Community Engineers","community-engineers",40],["Developer Success Engineers","developer-success-engineers",40]],"r":[["Loki","Webflow E-Commerce Developer","Americas",100,118,189300],["Wanda Maximoff","Senior Webflow Developer","EMEA",100,128,205000],["Scott Lang","Enterprise Webflow Developer","EMEA",100,101,162050],["Dr. Stephen Strange","Webflow Frontend Developer","APAC",100,74,119050],["The Visionary","Lead Production Engineer","APAC",99,46,95000],["The Titan","Lead Unreal Programmer","APAC",99,77,160000],["Batman","Principal Software Engineer","EMEA",99,77,160000],["Grace","Principal Research Engineer","EMEA",99,62,130000],["The Innovator","Principal Quality Engineer","APAC",99,67,140000],["The Mentor","Lead Developer","Americas",99,72,150000],["The Wise Mentor","Technical Architect","Americas",99,72,150000],["Toast","Test Architect","APAC",99,72,150000]],"j":[["Data Pipeline Development",["Designing ETL processes to extract, transform, and load data.","Implementing real-time data streaming with tools like Apache Kafka.","Creating data ingestion frameworks using tools like Apache NiFi.","Writing scripts for automated data processing and validation."]],["Data Modeling and Warehousing",["Developing star and snowflake schemas for data warehouses.","Optimizing data models for performance and scalability.","Implementing dimensional modeling for analytical reporting.","Creating aggregate tables to improve query performance."]],["Database Management",["Performing database performance tuning and optimization.","Setting up database backups and recovery plans.","Managing database security and user access controls.","Monitoring database health and resource usage metrics."]],["Data Quality Assurance",["Implementing data quality frameworks and validation rules.","Conducting root cause analysis for data anomalies.","Setting up data profiling and auditing processes.","Automating data quality monitoring and alerts."]]]}