Data Engineer (Adobe AEP)
At a glance
Mid-level Data Engineering role at TechBiz Global GmbH. Remote, Pakistan · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Create and maintain batch, streaming and API-based ingestion flows into Adobe AEP
- Convert CRM, billing, OCS and channel feeds into XDM-compliant structures
- Check records for accuracy, remove duplicates and reconcile differences across datasets
- Improve pipeline speed, capacity and cost, then troubleshoot failed ingestion with Adobe or vendors
- Record pipeline designs, field mappings and transformation steps so others can maintain them
What you bring
- Strong SQL skills plus Python or Scala capability and ETL or ELT development experience
- Practical experience with APIs, JSON, Kafka and cloud data platforms such as AWS or Azure
- Knowledge of AEP data schemas and Identity Service
- Experience using data-quality frameworks and reconciling datasets
Who this fits
This mid-level remote role suits a data engineer comfortable building ingestion pipelines and resolving data issues. The position is based in Islamabad, Pakistan.
From the employer
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Data Engineer (Adobe AEP) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities
● Build and maintain ingestion pipelines into AEP (batch, streaming, APIs).
● Map and transform source data (CRM, billing, OCS, channels) into XDM schemas.
● Ensure data quality, deduplication, and reconciliation across datasets.
● Optimize data pipelines for performance, scale, and cost efficiency.
● Support debugging of ingestion issues and coordinate fixes with Adobe/vendor teams.
● Document data pipelines, mappings, and transformation logic for sustainability.
Skills & Qualifications
● Strong SQL, Python/Scala, and ETL/ELT development skills.
● Hands-on experience with APIs, JSON, Kafka, and cloud data platforms (AWS, Azure, GCP).
● Familiarity with Adobe AEP XDM schemas and Identity Service.
● Strong problem-solving and debugging ability.
● Experience in data quality frameworks and reconciliation processes.
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