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Sr Data Consultant
Location: Fort Lauderdale FL (Day 1 Onsite Preferred)
Design develop and maintain robust data pipelines using Python and PySpark to process large volumes of healthcare data efficiently in a multitenant analytics platform.
Collaborate with crossfunctional teams to understand data requirements implement data models and ensure data integrity throughout the pipeline.
Optimize data workflows for performance and scalability considering factors such as data volume velocity and variety.
Implement best practices for data ingestion transformation and storage in AWS services such as S3 Glue EMR and Redshift.
Model data in relational databases (e.g. PostgreSQL MySQL) and filebased databases to support data processing requirements.
Design and implement ETL processes using Python and PySpark to extract transform and load data from various sources into target databases.
Troubleshoot and enhance existing ETLs and processing scripts to improve efficiency and reliability of data pipelines.
Develop monitoring and alerting mechanisms to proactively identify and address data quality issues and performance bottlenecks.
Full Time