Cpd Data Engineering Architect

hace 7 meses


Asia, Perú Johnson & Johnson A tiempo completo

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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