
51 - 200 employees
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
MWDN is a comprehensive IT services company that specializes in software development, web design, mobile development (iOS and Android), and desktop development. With over 200 in-house software engineers, MWDN provides a range of services including staff augmentation, dedicated teams, and global IT recruitment. Operating globally with delivery centers in Central and Eastern Europe, MWDN effectively bridges businesses in the USA, Europe, and Israel to top-tier tech talent while focusing on cost-effective solutions and personalized services tailored to client needs.
🔥 0 minutes ago
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Scala
Spark
SQL
Terraform
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51 - 200 employees
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
MWDN is a comprehensive IT services company that specializes in software development, web design, mobile development (iOS and Android), and desktop development. With over 200 in-house software engineers, MWDN provides a range of services including staff augmentation, dedicated teams, and global IT recruitment. Operating globally with delivery centers in Central and Eastern Europe, MWDN effectively bridges businesses in the USA, Europe, and Israel to top-tier tech talent while focusing on cost-effective solutions and personalized services tailored to client needs.
• Build and scale data infrastructure powering a business intelligence platform • Design, maintain, and enhance pipelines processing billions of ad server, CRM, and ancillary data events • Ingest and normalize data from SSPs, DSPs, ad servers such as GAM, and third-party reporting APIs • Develop ETL/ELT workflows transforming raw data into analytics-ready datasets • Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization • Build and maintain data warehouses and data lakes optimized for ad-tech query patterns • Implement data quality monitoring, validation, and anomaly detection for data streams • Support Executive, BI, and analytics teams with clean, documented, performant data infrastructure • Ensure GDPR and CCPA compliance in data collection, storage, and processing • Power real-time analytics and dashboards for internal and external customers to optimize campaigns, manage workflows, and drive efficiency and growth
• 5+ years of professional data engineering experience • 2+ years working with programmatic advertising and ad-tech data (GAM) • Strong proficiency in Python and SQL • Hands-on experience with data warehouses: BigQuery, Snowflake, Redshift, ClickHouse • Experience with batch processing frameworks: Spark, dbt, Airflow • Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data • Experience with cloud platforms: AWS, GCP • Experience with infrastructure-as-code • Ability to work partial US work hours, available until 2pm ET • Familiarity with SSP reporting APIs and log-level data, including Magnite, PubMatic, Index Exchange, and Xandr • Experience with Google Ad Manager reporting, Data Transfer files, and BigQuery exports • Knowledge of ad-tech revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density • Knowledge of auction analytics: bid landscape, floor optimization, timeout analysis • Knowledge of demand partner performance metrics: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT • Knowledge of supply chain data: ads.txt validation, sellers.json mapping, SPO analysis • Experience with the listed technical stack: Python, SQL, Apache Spark, dbt, Apache Flink, BigQuery, Snowflake, ClickHouse, Redshift, Airflow, Dagster, Prefect, S3, GCS, Delta Lake, Parquet, AWS, GCP, Terraform, Kubernetes • Scala is nice to have • Experience with ML feature engineering for bid optimization or yield prediction is nice to have • Background in building data products for publisher-side monetization is nice to have • Familiarity with privacy-preserving data techniques is nice to have • Experience with CTV/OTT advertising data and video ad metrics is nice to have • Knowledge of identity resolution and cross-device data challenges is nice to have
• Security through client vetting to minimize risks and ensure reliable, timely payments • Career support and assistance finding new project opportunities • Legal assistance with independent contractor or sole proprietorship status, taxes, and related processes • English courses • Professional growth opportunities • Team-building events • Flexible working hours • 29 days of PTO (18 working days per year plus all national holidays) • 10 paid recovery days • Full financial and legal support for independent contractors • Free English classes with native speakers or Ukrainian teachers • Dedicated HR support
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