Senior Data Engineer

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

📋 Description

• Create and develop scalable data pipelines for bid stream, impression, and revenue data sourced from programmatic platforms.

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

• Construct real-time and batch processing systems for auction analytics, win rate assessments, and bid landscape modeling.

• Design ETL/ELT workflows to convert raw programmatic data into analytics-ready datasets.

• Develop data models aimed at yield optimization, floor price evaluation, and demand partner performance analysis.

• Build and maintain data warehouses and lakes optimized for ad-tech query requirements.

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

• Assist BI and analytics teams by providing clean, documented, and efficient data infrastructure.

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

• Oversee the entire development lifecycle from architecture to deployment.

• Collaborate with a contemporary, high-performing engineering team.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years of experience in 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 like BigQuery, Snowflake, Redshift, and ClickHouse.

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

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

• Experience with cloud platforms like AWS and GCP.

• Knowledge of infrastructure-as-code practices.

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

• Knowledge of Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Familiarity with Prebid Analytics adapters and bid stream data.

• Awareness of mobile measurement platforms such as AppsFlyer, Adjust, and Kochava.

• Understanding of RTB log files and auction data.

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

• Familiarity with auction analytics concepts like bid landscape, floor optimization, and timeout analysis.

• Understanding of demand partner performance metrics, such as SSP/bidder scoring and latency analysis.

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

• Nice to have: experience with ML feature engineering for bid optimization or yield prediction.

• Nice to have: background in developing data products for publisher-side monetization.

• Nice to have: familiarity with privacy-preserving data techniques, such as differential privacy and clean rooms.

• Nice to have: experience with CTV/OTT advertising data and video ad metrics.

• Nice to have: knowledge of identity resolution and cross-device data challenges.

🏝️ Benefits

• Security through thorough client vetting and dependable, timely payments.

• Career support and assistance in discovering new opportunities.

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

• English language courses.

• Opportunities for professional growth.

• Team-building activities.

• Flexible working hours.

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

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.