Senior Data Engineer

This is a fully remote position, open to applicants in Armenia.

📋 Description

• Design and develop high-performance systems that handle millions of ad transactions in real time.

• Take ownership of the entire development lifecycle, from architecture through to deployment.

• Create and construct scalable pipelines for bid stream, impression, and revenue data.

• Ingest and standardize data from SSPs, DSPs, ad servers, and third-party reporting APIs.

• Develop both real-time and batch processing systems for auction analytics, win rate analysis, and bid landscape modeling.

• Create ETL/ELT workflows that convert raw programmatic data into analytics-ready datasets.

• Design data models for yield optimization, floor price analysis, and demand partner performance evaluation.

• Establish and maintain data warehouses and lakes optimized for ad-tech query patterns.

• Implement data quality monitoring, validation, and anomaly detection for programmatic data streams.

• Provide clean, documented, and efficient data infrastructure to support BI and analytics teams.

• Ensure compliance with GDPR and CCPA in the processes of data collection, storage, and processing.

• Collaborate with a modern, high-performing engineering team in a global environment.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years of experience working with programmatic advertising or ad-tech data.

• Strong expertise in Python and SQL.

• Familiarity with streaming data platforms such as Kafka, Kinesis, and Pub/Sub.

• Practical experience with data warehouses including BigQuery, Snowflake, Redshift, and ClickHouse.

• Experience with batch processing frameworks like Spark, dbt, and Airflow.

• Understanding of ad-tech data structures, including bid requests, impressions, OpenRTB schemas, and log-level data.

• Proficiency with cloud platforms, specifically AWS and GCP.

• Experience working with infrastructure-as-code.

• Familiarity with SSP reporting APIs and log-level data such as Magnite, PubMatic, Index Exchange, and Xandr.

• Experience with Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Knowledge of Prebid Analytics adapters and bid stream data.

• Familiarity with mobile measurement platforms including AppsFlyer, Adjust, and Kochava.

• Experience handling real-time bidding log files and auction data.

• Understanding of revenue metrics, including CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Knowledge of auction analytics, including bid landscape, floor optimization, and timeout analysis.

• Familiarity with demand partner performance metrics such as SSP/bidder scoring and latency analysis.

• Understanding of supply chain data, including ads.txt validation, sellers.json mapping, and SPO analysis.

🏝️ Benefits

• Security through carefully vetted clients and reliable, timely payments.

• Career support and assistance in finding new opportunities.

• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of paid time off (18 working days per year plus all national holidays).

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian teachers.

• Dedicated HR support.