Data Engineer

2 days ago

Hyderabad, India Talescope Full time

Description :About the Role : We are looking for a highly experienced and hands-on GCP 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 : 6-8 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 dataGoogle 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. (ref:hirist.tech)

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