CPD Data Engineering Architect

1 week ago

bangalore, India KENVUE SOLUTIONS INDIA PRIVATE LIMITED Legal Entity Full time
Description Required Qualifications • 5-8 years of overall experience with minimum of 3 years experience in data engineering and solution architecture. • Excellent communication skills. • Bachelor's 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, e.g.
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 • Marketing database/data warehouse experience preferred, e.g.
Snowflake, Databricks, Redshift, BigQuery, SQL Server, etc. • 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 • 5-8 years of overall experience with minimum of 3 years experience in data engineering and solution architecture. • Excellent communication skills. • Bachelor's 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, e.g.
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 • Marketing database/data warehouse experience preferred, e.g.
Snowflake, Databricks, Redshift, BigQuery, SQL Server, etc. • Experience with data management, data transformation, ETL, preferably using cloud-based tools/infrastructure

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