Senior Data Engineer

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

📋 Description

• Develop and scale data architecture for a business intelligence platform.

• Design, maintain, and improve scalable pipelines that handle billions of ad-tech events.

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

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

• Construct data models aimed at optimizing campaign performance, supply analysis, supply allocations, and maximizing profits.

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

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

• Assist executive, BI, and analytics teams with clean, well-documented, and efficient data infrastructure.

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

• Enable real-time analytics and dashboards utilized for campaign optimization, workflow management, and enhancing efficiency and growth.

⛳️ Requirements

• 5+ years of professional experience in data engineering.

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

• Strong expertise in Python and SQL.

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

• Familiarity with Spark, dbt, or Airflow.

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

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

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

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

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

• Insight into ad-tech revenue metrics, auction analytics, demand partner performance, supply chain data, and related metrics.

• Technical familiarity with Python, SQL, Apache Spark, dbt, Apache Flink, BigQuery, Snowflake, ClickHouse, Redshift, Airflow, Dagster, Prefect, S3, GCS, Delta Lake, Parquet, AWS, GCP, Terraform, and Kubernetes.

• Experience with Scala is preferred.

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

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

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

• Experience with CTV/OTT advertising data and video ad metrics is desirable.

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

🏝️ Benefits

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

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

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

• English courses and 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.