Data Engineer

About the Role:

Senior Data Analyst (AdTech)

Note:

Shift Timings: 5PM - 2AM IST

Key Responsibilities:

• Lead and mentor a team of data analysts, ensuring quality delivery and technical upskilling.
• Design, develop, and maintain scalable ETL/ELT pipelines using GCP tools (BigQuery, Dataflow, Cloud Composer, Cloud Functions, Pub/Sub).
• Ingest and process log-level data from platforms like Google Ad Manager, Google Analytics (GA4/UA), DV360, and other advertising and marketing tech sources.
• Build and optimize data pipelines from diverse sources via APIs, cloud connectors, and third-party tools (e.g., Supermetrics, Fivetran, Stitch).
• Integrate and manage data across multiple cloud platforms and data warehouses such as BigQuery, Snowflake, DOMO, and AWS (Redshift, S3).
• Own the creation of data models, data marts, and analytical layers to support dashboards and deep-dive analyses.
• Build and maintain scalable, intuitive dashboards using Looker Studio, Tableau, Power BI, or Looker.
• Partner with engineering, product, revenue ops, and client teams to gather requirements and drive strategic insights from data.
• Ensure data governance, security, and quality standards are followed across the analytics ecosystem.
  

Required Qualifications:

• 4 - 6 years of experience in data analytics or data engineering roles, with at least 1 - 2 years in a leadership capacity.
• Deep expertise working with log-level AdTech data 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 (Dataflow, Composer, Cloud Functions, Pub/Sub, Cloud Storage).
• Proven experience integrating data from various APIs and third-party connectors.
• Experience working with multiple data warehouses: Snowflake, DOMO, AWS Redshift, etc.
• Strong skills in data visualization tools: Looker Studio, Tableau, Power BI, or Looker.
• Excellent stakeholder communication and documentation skills.
  

Preferred Qualifications:

• Scripting experience in Python or JavaScript for automation and custom ETL development.
• Familiarity with version control (e.g., Git), CI/CD pipelines, and workflow orchestration.
• Exposure to privacy regulations and consent-based data handling in digital advertising (GDPR, CCPA).
• Experience working in agile environments and managing delivery timelines across multiple stakeholders.