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Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing
Configuring metadata vs handling huge volumes of data. Data Modeling Experience Professional. End-to-end data modelling, from requirement to final.
Data Testing Coordinator – Regulatory Reporting & Data Validation (SQL/Python/Data Quality). Perform data reconciliation and validation. Develop and execute testing strategies for regulatory reporting initiatives.
At least 2+ years of experience with Big Data & Analytics solutions Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies. Cloud Analytics In Big Data/Hadoop. At least 4+ years of
The team's responsibilities include: transforming data into meaningful and actionable information for various customer segments; performing strategic data analysis to support medical management programs, quality and value-based partnerships, and a strategic and predictable corporate provider reimbur