CPD Data Engineering Architect - Bengaluru, India - Kenvue

Kenvue Bengaluru, India

2 weeks ago

Default job background

Description

CPD Data Engineering Architect W 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

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

Primary Location

Asia Pacific-India-Karnataka-Bangalore

Job Function

Operations (IT)

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