6 years of solid experience in Data Engineering, Application Integrations, and Integrating with Cloud Data Platforms 6 years of Experience developing Data Engineering solutions using various design patterns such as Batch and Streaming ETL, Integrating with Message Queues & Topics, Developing Producers and Consumers, and Integrating with APIs Any CDP experience such as Treasure data, Action. IQ, Bloomreach, Tealium, Segment, Adobe, or simila[ "\t. Provide Customer data platform solutions and bu... more details
job summary: 6+ years of solid experience in Data Engineering, Application Integrations, and Integrating with Cloud Data Platforms 6+ years of Experience developing Data Engineering solutions using various design patterns such as Batch and Streaming ETL, Integrating with Message Queues & Topics, Developing Producers and Consumers, and Integrating with APIs Any CDP experience such as Treasure data, ActionIQ, Bloomreach, Tealium, Segment, Adobe, or simila
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Provide Customer data platform solutions and build pipelines for data Ingestion, identity resolution, and Integrations with activation/personalization platforms and Data warehouse.\t
Identify data needs from broad partners and develop an efficient and scalable data solution to enable Activations, personalization, and Analytics at scale.\t
Data Engineering responsibilities for designing and building data pipelines using technology stacks such as Kafka, Kafka Producers and Consumers, SQL, and Java/python. \t
Contribute to establishing and growing Data Engineering designs, best practices, and standards for the enterprise. \t
Partner with Business Analysts and Application developers across various functional areas within the enterprise such as customer Marketing, Customer Analytics, Store Systems, Merchandising, Digital, etc. to design and deliver scalable data engineering solutions. \t
Participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications! \t
Provide expertise and recommend solutions to complex data engineering requirements and technical issues. \t
Evaluate and recommend emerging technologies and options for data engineering and data management.\t
Act as a Data Engineering Technology Subject Matter Expert by proactively acquiring knowledge as it relates to technology changes and advancements, conducting POCs, develop prototypes and reusable frameworks.
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