Data Engineer (GCP)

As a highly experienced GCP Data Engineer (AdTech), your role will involve leading the analytics team, building scalable data pipelines, and mentoring analysts. Your responsibilities will include: - Leading and mentoring a team of data analysts to ensure quality delivery and technical upskilling. - Designing, developing, and maintaining scalable ETL/ELT pipelines using GCP tools such as BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Pub/Sub. - Ingesting and processing log-level data from platforms like Google Ad Manager, Google Analytics, DV360, and other advertising and marketing tech sources. - Building and optimizing data pipelines from diverse sources via APIs, cloud connectors, and third-party tools like Supermetrics, Fivetran, and Stitch. - Integrating and managing data across multiple cloud platforms and data warehouses such as BigQuery, Snowflake, DOMO, and AWS (Redshift, S3). - Owning the creation of data models, data marts, and analytical layers to support dashboards and deep-dive analyses. - Building and maintaining scalable, intuitive dashboards using tools like Looker Studio, Tableau, Power BI, or Looker. - Partnering with engineering, product, revenue ops, and client teams to gather requirements and drive strategic insights from data. - Ensuring data governance, security, and quality standards are followed across the analytics ecosystem. Qualifications required for this role include: - 6+ years of experience in data analytics or data engineering roles, with at least 12 years in a leadership capacity. - Deep expertise in working with log-level AdTech data from platforms like Google Ad Manager, Google Analytics, GA4, programmatic delivery logs, and campaign-level data. - Strong knowledge of SQL and Google BigQuery for large-scale data querying and transformation. - Hands-on experience building data pipelines using GCP tools like Dataflow, Composer, Cloud Functions, Pub/Sub, and Cloud Storage. - Proven experience integrating data from various APIs and third-party connectors. - Experience working with multiple data warehouses such as Snowflake, DOMO, AWS Redshift, etc. - Strong skills in data visualization tools like Looker Studio, Tableau, Power BI, or Looker. - Excellent stakeholder communication and documentation skills. Preferred qualifications include scripting experience in Python or JavaScript, familiarity with version control (e.g., Git), CI/CD pipelines, workflow orchestration, exposure to privacy regulations, and consent-based data handling in digital advertising (GDPR, CCPA), as well as experience working in agile environments and managing delivery timelines across multiple stakeholders.,