Data Engineer

Our Mission

Revolutionizing OOH advertising with deep data analytics, our team transforms geolocation data into insights for brands to plan, execute, and measure campaigns. Seeking a proactive, experienced Data Engineer to build the data foundation for future Ad-Tech.

The Role

Senior/Lead Data Engineer to architect and build the company's data backbone. Own terabyte-scale data pipelines, maximizing automation, efficiency, and scalability. Collaborate with data science/analytics teams, turning prototypes into robust production data products. High-impact role making foundational technical decisions shaping the platform for years.

What You'll Do

• Build/optimize PySpark/Databricks pipelines processing terabytes of real-time/batch geolocation data daily.

• Automate/cost-optimize AWS data infrastructure (scalable, reliable, efficient).

• Empower data science/analytics: Productionize models, build data products for campaign analysis.

• Ensure data quality/privacy: Automated monitoring, rapid de-anonymization for secure datasets.

• Develop core infrastructure: Golden tables, reports, dashboards (single source of truth).

• Lead foundational project: Automate/re-architect core data prep platform (greenfield).

Core Qualifications (Must-Haves):

• Experience: 5+ years of professional experience in data engineering for a Senior role; 7+ years with demonstrated technical leadership for a Lead role.

• Python & Spark: Advanced proficiency in Python for data engineering and extensive hands-on experience with PySpark for processing large-scale datasets.

• Databricks: Practical, in-depth experience with the Databricks platform, with a strong understanding of how to optimize Spark jobs for performance and cost.

• SQL Mastery: Ability to write, debug, and optimize complex SQL queries.

• Cloud Expertise: Strong experience with AWS cloud services, particularly S3 for data storage and SQS/SNS for messaging, serverless functions.

• Data Architecture: Solid understanding of Data Lake and Data Warehouse architectures and design principles.

• Orchestration & CI/CD: Experience with workflow orchestration tools like Apache Airflow (or Prefect, Dagster) and building/maintaining CI/CD pipelines (e.g., GitHub Actions).

• Containerization: Foundational knowledge of Docker and Kubernetes.

• Communication: Professional fluency in English, as all team communication and documentation are in English.

Nice-to-Have:

• Geospatial Data: Experience with geospatial libraries and tools (e.g., GeoPandas, PostGIS).

• Infrastructure as Code: Experience with Terraform.

• Databases: Familiarity with columnar databases (e.g., Redshift, ClickHouse).

• Monitoring & Visualization: Experience with monitoring stacks (e.g., ELK, Grafana).

• Version Control: Proficiency with Git and collaborative workflows like GitFlow.

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• Request that you purchase work equipment or send money in any form.

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To be considered for any open position at billups, you must apply directly through our official website at billups.com/careers. We do not accept applications via email, social media, or third-party job boards.
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