Privacy-Safe Data Engineer: Audience & Inference

Reliance Automated Verified Leads, LLC; Indonesia; On-site; IDR 180,000,000 - 320,000,000; Full time

Job summary

Reliance Automated Verified Leads, LLC is seeking a Data Engineer to build and maintain compliant, privacy-safe data infrastructure powering audience development and marketing intelligence systems. The role emphasizes aggregated, historical signals rather than real-time or individual data.

Key responsibilities include ETL/ELT pipeline work, reusable inference layers, governance, and geospatial aggregation, with collaboration across Growth and Compliance teams to ensure governance and security

Qualifications

• Strong SQL and data modelling skills.
• Proficiency in Python.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with data warehouses Snowflake, BigQuery, Redshift.
• Data governance experience and auditable pipelines.
• Experience with aggregated geospatial data.

Responsibilities

• Build and maintain ETL/ELT pipelines.
• Develop reusable inference layers.
• Create audit-ready segmentation workflows.
• Implement governance controls (lineage, validation, logging).
• Perform geospatial aggregation (ZIP, county, corridor).
• Collaborate with Growth and Compliance teams.

Skills

SQL

Data Modelling

Python

Cloud Platforms

Snowflake

BigQuery

Redshift

Data Governance

Geospatial Data

Tools

dbt

Airflow

Dagster

Spark

Job description

Reliance Automated Verified Leads, LLC is seeking a Data Engineer to build and maintain compliant, privacy-safe data infrastructure powering audience development and marketing intelligence systems. The role emphasizes aggregated, historical signals rather than real-time or individual data.

Key responsibilities include ETL/ELT pipeline work, reusable inference layers, governance, and geospatial aggregation, with collaboration across Growth and Compliance teams to ensure governance and security