Senior Data Engineer

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

📋 Description

• Design, develop, and enhance scalable data pipelines for processing ad server and ancillary data.

• Ingest and standardize data from SSPs, DSPs, ad servers including GAM, and external reporting APIs.

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

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

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

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

• Assist Executive, BI, and analytics teams by providing clean, well-documented, and performant data infrastructure.

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

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

⛳️ Requirements

• A minimum of 5 years of professional data engineering experience.

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

• Strong skills in Python and SQL.

• Practical experience with data warehouses such as BigQuery, Snowflake, Redshift, and ClickHouse.

• Familiarity 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.

• Experience with cloud platforms such as AWS and GCP.

• Background in 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 from Magnite, PubMatic, Index Exchange, and Xandr.

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

• Understanding of ad-tech revenue, auction, demand partner performance, and supply chain metrics.

• Proficient in Python and SQL; knowledge of Scala is a plus.

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

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

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

• Knowledge of privacy-preserving data techniques is a plus.

• Familiarity with CTV/OTT advertising data and video ad metrics is a plus.

• Understanding of identity resolution and challenges related to cross-device data is desirable.

🏝️ Benefits

• Support for career advancement and assistance in finding new project opportunities.

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

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• 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.

• Dedicated HR support.

• Security through client vetting and reliable, timely payments.