As a Data Engineer in the Customer Data Platform(CDP) team you will be relied on to independently develop and deliver high-quality features and finish tasks to a high standard.
responsibilities :
You’ll be part of an emerging team, focussing on building and improving our innovative Customer Data Platform applying marketing suites.
For this position the ideal candidate has 8 years of experience in software development, and with data structures/algorithms with a focus on data engineering and integration.
requirements-expected :
5 years of hands-on experience in using Python, JVM with production experience.
3 years of proven experience on building cloud native data intensive applications, Amazon Web Service experience is a must and good to have experience in GCP.
Highly proficient in building real-time and batch data pipelines.
Experience with GA4, Adobe Campaign, Criteo and Salesforce data models is a huge plus.
Experience on designing Customer Data Platform data models per the business nature.
Having experience in Databricks and dbt experience is nice to have.
Highly proficient in architecting and implementing workflow management systems, Airflow is a must.
Experience of integrating CDPs with Consent Management Platforms, SourcePoint is nice to have.
Familiarity with GDPR integrations and flows(DDR & SAR) is a huge plus.
Fundamental understanding of Parquet, Delta Lake and other OTFs file formats.
Comfortable providing, receiving constructive feedback, particularly while participating in code reviews and ability to not only code, but also provide good quality readable business documentation.
Focus on business value vs engineering interest and focus on business value vs engineering interest.
Pro-active / service-oriented towards our internal customers
Strong written and verbal English communication skill and proficient in communication with non-technical stakeholders
benefits :
sharing the costs of foreign language classes
sharing the costs of professional training & courses
