Pay: $75-80. W2 ONLY REMOTE - EST business hours Duration: 1 year Qualifications 5+ years of Data Engineering experience is required. Advanced SQL + PySpark (so Python also required) are top 2 primary skills required AWS + Glue, Lambda, S3 + Snowflake are also required. (Data modeling / ETL beyond Admin level would be great) Problem solving skills, beyond just coding – domain knowledge in HR / People / Finance related a plus. Candidates should be hands-on coders, not just managing – they will write the ETL logic that powers the data ecosystem. Technologies PySpark & SQL: For crunching and transforming big datasets. AWS Glue / Lambda / S3: For automating data movement and storage. Snowflake / Hadoop / Hive: For hosting and processing massive data. Airflow: For scheduling and monitoring data jobs. Tableau / QlikView: For visualization and reporting. Responsibilities You will be a core member of the team responsible for extracting large quantities data from enterprise source systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data. You will be exposed to an enormous variety of topics across many different industries such as, a world-leading bank figuring out how to best do its customer care across all of its channels, a railway determining optimal crew deployment, or a medical care provider understanding the main drivers for delays in surgery scheduling. In this role, you will be the point person in data architecture and management for our cloud platform and other high-tech initiatives. Education Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus #J-18808-Ljbffr The Fountain Group
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