Job Title: Senior Data Engineer (GCP / BigQuery / Python) Location:Remote Experience Level:7–12 years total experience (7–9+ years in Data Engineering)Job SummaryWe are seeking a highly skilledSenior Data Engineerwith strong experience in cloud-based data platforms, especiallyGoogle Cloud Platform (GCP)andBigQuery. The ideal candidate will design, build, and optimize scalable data pipelines and modern data warehouse solutions across hybrid cloud environments (AWS, GCP, Snowflake). You will play a key role in migrating and enhancing Adobe-based data pipelines, integrating new datasets (including Orion), and building robust event-driven data architectures.Key ResponsibilitiesDesign, develop, and maintain scalableETL/ELT pipelinesacross hybrid cloud environments (AWS, GCP, Snowflake) Build and optimize data workflows usingPython, SQL, Apache Airflow, and GCP Composer Develop high-performance solutions inGoogle BigQuery, ensuring cost and query optimization Support migration and enhancement ofAdobe-based data pipelines Integrate and manageOrion datasetsinto existing data ecosystems Build new pipelines forevent data collection and processing Implementdata quality checks, validation rules, and reconciliation frameworks Optimize pipeline performance including runtime, compute usage, and storage efficiency Work closely with stakeholders to translate business requirements into scalable data solutions Maintain clear and detailedtechnical documentationfor all data pipelines and architecturesRequired Skills & QualificationsBachelor's degree in Computer Science, Engineering, or related field 7–12 years of overall experience in software/data engineering 7+ years of hands-on experience in data engineering roles Strong expertise inPython and SQL Proven experience withGCP BigQuery Strong knowledge ofApache Airflow / GCP Composer Experience inCI/CD pipelines using GitHub or similar tools Strong understanding ofdata warehousing concepts Star schema Dimensional modeling OLTP vs OLAP systems Experience working withETL/ELT pipelines in cloud environments Familiarity withAWS, GCP, and Snowflake ecosystems Experience in performance tuning and cost optimization in BigQueryNice to HaveExperience with Adobe data ecosystem and pipeline migration Experience with real-time or event-driven data architectures Exposure to large-scale analytics or marketing data platforms Knowledge of data governance and metadata management toolsSoft SkillsStrong problem-solving and analytical skills Ability to work in cross-functional global teams Good communication and documentation skills Ownership mindset and attention to detail