Software Mind
Information Technology And Services
[C3T]CDPDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“[C3T] CDP Data Engineer at Software Mind. Skills: Python, SQL, Snowflake, AWS, Data pipelines, CDP implementation, Event data integration, User identification mechanisms. Implementation and maintenance of the CDP environment (collector, enrich, loaders). Integration of event data from various sources”
Industry & Context.
Independence in problem-solving
What They're Looking For.
Must Have
Very good knowledge of Python, Very good knowledge of SQL, Experience with Snowflake, Experience with AWS, Building scalable data pipelines (batch + streaming), Practical understanding of event-driven architecture, Practical understanding of real-time data processing, Understanding of consent management, Understanding of GDPR in the context of user data, Experience with CI/CD, Experience with GitHub, Independence in problem-solving, Willingness to work with new technologies, Good command of English
Nice to Have
Experience with platforms such as Snowplow or similar, Experience with ID stitching, Experience with building identity graphs, Integrations with DMP / adtech / AI, Scala, JavaScript
What You'll Do.
Implementation and maintenance of the CDP environment (collector
Integration of event data from various sources
Configuration and development of the CDP (schema repository)
Building and maintaining data pipelines in the cloud (AWS)
Creating and developing analytical models
Integration with the data catalog
Development and implementation of user identification mechanisms (ID stitching
How You'll Work.
Team & Collaboration
Collaboration with Data Engineering teams; Collaboration with Data Management teams; Collaboration with Data Governance teams; Collaboration with IT teams; Collaboration with Privacy teams; Collaboration with Analytics teams
Communication Scope
Good command of English (communication within documentation and community)
Full Job Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. Project – the aim you’ll have We are a team that develops and maintains analytical solutions for digital services. We are building a modern data ecosystem based on a wide range of technologies and the AWS cloud. We are looking for a person to join our team and help us with the implementation of a Customer Data Platform (CDP) – from installation and configuration, through development, to integration with our analytical and Data Governance tools, and finally, maintenance. Position – how you’ll contribute * Implementation and maintenance of the CDP environment (collector, enrich, loaders) * Integration of event data from various sources * Configuration and development of the CDP (schema repository) * Building and maintaining data pipelines in the cloud (AWS) * Creating and developing analytical models and integration with the data catalog * Participating in the development and implementation of user identification mechanisms (ID stitching, cross-device, cross-site, consent logic) * Documentation and collaboration with Data Engineering, Data Management, Data Governance, IT, Privacy, and Analytics teams ## Qualifications Expectations – the experience you need * Very good knowledge of Python and SQL. * Experience with Snowflake and AWS. * Building scalable data pipelines (batch + streaming). * Familiarity with Apache Kafka / Kinesis, Apache Spark or Apache Flink, Apache Airflow. * Practical understanding of event-driven architecture and real-tim
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