Experience with data management, data transformation, ETL, preferably using cloud-based tools/infrastructure
Desired Qualifications
Strong problem-solving and analytical skills
Excellent communication and collaboration skills.
Strong aptitude toward communicating complex business and technical concepts using visualization and modeling aids. Ability to conceptualize and create sophisticated diagrams and documents.
Strong desire and aptitude to learn new technologies quickly and thoroughly.
Expertise in gathering and analyzing information related to data integration, subscriber management, and identify resolution.
Demonstrated ability to influence a group audience, facilitate solutioning and lead discussions such as implementation methodology, architectural roadmaps, enterprise transformation strategy, and executive-level requirement gathering sessions.
Knowledge of Data Governance and Data Privacy concepts and regulations a plus
Knowledge of big data technologies such as Hadoop, Spark, and Kafka
Qualifications
5-8 years of overall experience with minimum of 3 years experience in data engineering and solution architecture.
Excellent communication skills.
Bachelors degree or equivalent in Computer Science, Engineering, or related field
Proficiency in programming languages such as Python, Java, and SQL
Experience with cloud-based data platforms such as AWS, Hive, Presto, Azure and Real-time APIs
Expertise in data modeling, data warehousing, and ETL processes.
Relevant Treasure Data experience or equivalent Customer Data Platform experience, eg Salesforce Data Cloud, Adobe AEP, Tealium AudienceStream, Segment, ActionIQ, etc
Proficient in configuring and implementing the Treasure Data Platform
Experience with configuring and using Treasure Data modules like Integration hub, and Audience Studio
Proficient in the use of Treasure Data Workflows for data integration and segmentation
