Senior Data Engineer

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

📋 Description

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

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

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

• Develop data models aimed at optimizing campaign performance, analyzing supply, allocating supply, and maximizing profits.

• Construct and manage data warehouses and data lakes that are optimized 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 compliance with GDPR and CCPA in the processes of data collection, storage, and processing.

• Build and scale the data infrastructure that supports a business intelligence platform and real-time analytics over billions of events.

⛳️ 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 data warehouse solutions: BigQuery, Snowflake, Redshift, ClickHouse.

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

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

• Experience with cloud service providers: AWS and GCP.

• Knowledge of infrastructure-as-code methodologies.

• Availability for partial US work hours, ensuring presence until 2pm ET.

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

• Experience 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.

• Understanding of demand partner performance metrics, including SSP/bidder scoring, latency analysis, viewability, reach/frequency, and IVT.

• Familiarity with supply-chain data, including ads.txt validation, sellers.json mapping, and SPO analysis.

• Experience with tools and technologies like Apache Spark, dbt, Apache Flink, Airflow, Dagster, Prefect, BigQuery, Snowflake, ClickHouse, Redshift, S3, GCS, Delta Lake, Parquet, AWS, GCP, Terraform, and Kubernetes.

• Scala programming experience is a plus.

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

• Background in publisher-side monetization data products is advantageous.

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

• Experience with CTV/OTT advertising data and video ad metrics is an added benefit.

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

🏝️ Benefits

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

• Career support and assistance in locating new opportunities.

• Legal assistance 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 recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.