Requirements

Expected technologies

Python

Airflow

Optional technologies

Google Cloud Platform

Operating system

Linux

Our requirements

• 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

Your 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.