Senior Data Engineer

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

📋 Description

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

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

• Create and develop scalable pipelines for bid streams, impression data, and revenue information.

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

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

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

• Establish data models focused on yield optimization, floor-price evaluations, and demand-partner performance.

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

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

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

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

• Collaborate with a modern, high-performing engineering team in an international setting.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

• Strong skills 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 such as AWS and GCP.

• Knowledge of infrastructure-as-code practices.

• Familiarity with SSP reporting APIs and log-level data from sources like 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.

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

• Experience with RTB log files and auction data.

• Acquainted with revenue metrics like CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Knowledgeable in auction analytics, including bid landscape, floor optimization, and timeout analysis.

• Familiar 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.

• Experience with ML feature engineering for bid optimization or yield prediction is a plus.

• Background in developing data products for publisher-side monetization is a plus.

• Familiarity with privacy-preserving data techniques is a plus.

• Experience in CTV/OTT advertising data and video ad metrics is a plus.

• Knowledge of identity resolution and cross-device data challenges is a plus.

🏝️ Benefits

• Security through thorough client vetting to reduce risks and ensure reliable, timely payments.

• Career support and assistance in finding new opportunities if a project does not align well.

• 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 per year plus all national holidays).

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes taught by native speakers or Ukrainian instructors.

• Dedicated HR support.