At Adsquare, we are looking for a Staff Data Analytics Engineer to join our technical proficiency track. The role involves technical leadership, architecture, and building production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.
Requirements
- 7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
- Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
- Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting.
- Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses.
- Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
- Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
- AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
- Leadership Skills: Superb organizational and communication skills.
Benefits
- Competitive package
- Flexible work models
- 30 vacation days per year
- Urban Sports Club membership
- Company pension scheme
- Individual yearly budget of 1.200€ for education and professional growth
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