CPD Data Engineering Architect - 2407020918W

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)

Req ID: 2407020918W