Remotery

Senior Data Engineer

Posted 1 day ago

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

📋 Description

• Design, construct, and improve scalable data pipelines that process ad server and related data.

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

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

• Create data models aimed at optimizing campaign performance, supply analysis, supply allocations, and maximizing profit.

• Build and sustain data warehouses and lakes tailored for ad-tech query patterns.

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

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

• Ensure adherence to GDPR and CCPA regulations in the collection, storage, and processing of data.

• Process vast amounts of data and billions of events to enable real-time analytics and business intelligence dashboards.


⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• At least 2 years of experience working with programmatic advertising and ad-tech data (GAM).

• Strong expertise in Python and SQL.

• Practical experience with BigQuery, Snowflake, Redshift, or ClickHouse.

• Familiarity with batch processing frameworks such as Spark, dbt, or Airflow.

• Understanding of bid requests, impressions, OpenRTB schemas, and log-level data.

• Experience with AWS or GCP and infrastructure-as-code practices.

• Ability to work partial US hours and be available until 2 PM ET.

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

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

• Understanding of ad-tech revenue metrics such as 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, including SSP/bidder scoring, latency analysis, viewability, reach/frequency, and IVT.

• Understanding of ads.txt validation, sellers.json mapping, and SPO analysis.

• Experience with Scala is a plus.

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

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

• Familiarity with differential privacy and clean rooms is a plus.

• Experience with 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 carefully vetted clients, minimizing risks, and ensuring reliable and timely payments.

• Career support and assistance in finding new opportunities if a project is not the right fit.

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

• Access to English courses and opportunities for professional development.

• Team-building activities.

• Flexible working hours.

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

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.

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