Data Engineering Lead

16 hours ago

Alleppey, Kerala, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000
About the Role

We are seeking an experienced and skilled Data Engineer 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 business intelligence tools.

This is a leadership position requiring at least 1–2 years of experience in data analytics or data engineering roles.

Key Responsibilities:
  • Lead and mentor a team of data analysts to ensure quality delivery and technical upskilling.
  • Design, develop, and maintain scalable extract, transform, load (ETL)/extract, load, transform (ELT) pipelines using Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Pub/Sub.
  • Ingest and process log-level data from platforms like Google Ad Manager, Google Analytics (GA4/UA), DV360, and other advertising and marketing technology sources.
  • Build and optimize data pipelines from diverse sources via APIs, cloud connectors, and third-party tools such as Supermetrics, Fivetran, Stitch.
  • Integrate and manage data across multiple cloud platforms and data warehouses such as BigQuery, Snowflake, DOMO, and Amazon Web Services (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 operations, 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:
  • At least 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 such as 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 such as Git, continuous integration/continuous deployment (CI/CD) pipelines, and workflow orchestration.
  • Exposure to privacy regulations and consent-based data handling in digital advertising.
  • Experience working in agile environments and managing delivery timelines across multiple stakeholders.

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