| Company | Replika |
| Job title | Data Engineer (Marketing & Analytics Focus) |
| Job location | Remote |
| Type | Full Time |
Responsibilities:
- Design and maintain robust data pipeline integrations: Google Ads, Firebase, AppsFlyer, and Amplitude
- Drive analytics infrastructure and tooling to eventually build a first-class class scalable data platform
- Build and manage orchestration workflows using Airflow
- Maintain and optimize data warehouses and databases (ClickHouse, Postgres, MongoDB, S3)
- Ensure clean, well-documented event tracking and accurate data mapping across systems
- Diagnose data quality issues and propose scalable solutions
- Build and maintain ETL/ELT processes for marketing events data
- Support Tableau dashboards, maintain jobs, and extraction tasks
- Collaborate with Growth, Analytics, and Engineering teams to improve marketing attribution and event analytics
- Identify gaps, data anomalies, and areas for improvement in the current infrastructure
Requirements & Skills:
- 3+ years in Data Engineering, Analytics Engineering, or a similar role
- Strong experience working with: Amplitude (very important)
- Airflow for data orchestration + ML Pipelines
- AppsFlyer events data (or Adjust)
- Proficient in SQL (Postgres, ClickHouse, Athena), database performance tuning, and query optimization
- Strong knowledge of ETL/ELT pipeline building best practices
- Working experience with AWS pipelines, S3 buckets (data storage and retrieval)
- Familiarity with MongoDB
- Experience troubleshooting and validating event-based tracking and attribution models
- Understanding of marketing analytics and common metrics (CPI, ROAS, retention, etc.)
- Experience connecting and troubleshooting data sources for Tableau visualizations (or other BIs)
- Comfortable diagnosing and documenting data flows and source-of-truth issues
Nice to Have
- Familiarity with big data processing frameworks (e.g., Spark, dbt, etc.)
- Experience with infrastructure-as-a-code tooling, e.g., Terraform
- Working with dialogue and text data
- Knowledge of data governance and privacy standards (GDPR, CCPA)
- Experience working with real-time data ingestion (streaming pipelines)
