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- Design, develop and maintain optimal data pipelines.
- Analyze and organize raw data.
- Work closely with product managers and engineering managers to translate their needs into ETL flows.
- Assemble large, complex data sets including legacy structured data warehouse that meet functional / non-functional business requirements.
- Work with various data platforms, databases, and systems such as Oracle and Mongo DB · Participate in data modelling discussion and influence the data architecture to ensure the best performance for solutions required by various teams.
- Manipulate, process and extract value from large, disconnected datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Implement best practices to enhance data quality and reliability.