Data Engineer

5 days ago

Bengaluru, Karnataka, India Talescope Full time

About the Role:

We are looking for a highly experienced and hands-on Data Engineer (AdTech) to lead our analytics team. This role is ideal for someone with a strong background in log-level data handling, cross-platform data engineering, and a solid command of modern BI tools. You'll play a key role in building scalable data pipelines, leading analytics strategy, and mentoring a team of analysts.

Experience Required: 4–6 years of experience in data analytics or data engineering roles, with at least 1–2 years in a leadership capacity.

Note: The default working hours are 5pm – 2am.

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.

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