Senior Data Engineer

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

📋 Description

• Design and develop scalable data pipelines to handle bid stream, impression, and revenue data from programmatic sources.

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

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

• Develop ETL/ELT workflows to convert raw programmatic data into datasets ready for analysis.

• Design data models focused on yield optimization, floor price evaluation, and demand partner performance.

• Construct and manage data warehouses and lakes that are optimized for ad-tech query operations.

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

• Provide support to BI and analytics teams with a clean, well-documented, and efficient data infrastructure.

• Ensure compliance with GDPR and CCPA regulations in relation to data collection, storage, and processing.

• Oversee the entire development lifecycle from architecture to deployment.

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

⛳️ Requirements

• A minimum of 5 years of professional experience in data engineering.

• At least 2 years of experience working with programmatic advertising or ad-tech data.

• Strong expertise in Python and SQL.

• Experience with streaming data platforms such as Kafka, Kinesis, or Pub/Sub.

• Practical knowledge of data warehouses like BigQuery, Snowflake, Redshift, and ClickHouse.

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

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

• Familiarity with cloud platforms such as AWS and GCP.

• Experience with infrastructure-as-code practices.

• Knowledge of SSP reporting APIs and log-level data, including platforms like Magnite, PubMatic, Index Exchange, and Xandr.

• Proficiency in Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Familiarity with Prebid Analytics adapters and bid stream data.

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

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

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

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

• Nice to have: knowledge of privacy-preserving data techniques, including differential privacy and clean rooms.

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

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

🏝️ Benefits

• Security through client vetting to minimize risks and ensure reliability and timely payments.

• Career support and assistance in discovering new opportunities.

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

• Access to 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 instructors.

• Dedicated HR support.