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1 week ago
We are looking for an experienced and skilled Lead Data Engineer to drive our analytics team's success. This role is ideal for someone with a strong background in data engineering, log-level data handling, and modern BI tools.
As a Lead Data Engineer, you will play a key role in building scalable data pipelines, leading analytics strategy, and mentoring a team of analysts. You will design, develop, and maintain ETL/ELT pipelines using GCP tools (BigQuery, Dataflow, Cloud Composer, Cloud Functions, Pub/Sub).
You will ingest and process log-level data from platforms like Google Ad Manager, Google Analytics (GA4/UA), DV360, and other advertising and marketing tech sources. Additionally, you will build and optimize data pipelines from diverse sources via APIs, cloud connectors, and third-party tools.
The ideal candidate will have 4–6 years of experience in data analytics or data engineering roles, with at least 1–2 years in a leadership capacity. They should have deep expertise working with log-level AdTech data, strong knowledge of SQL and Google BigQuery, and hands-on experience building data pipelines using GCP tools.
They should also have proven experience integrating data from various APIs and third-party connectors, experience working with multiple data warehouses (Snowflake, DOMO, AWS Redshift, etc.), and strong skills in data visualization tools (Looker Studio, Tableau, Power BI, or Looker).
- Strong understanding of data engineering concepts and practices
- Experience with ETL/ELT pipeline design and development
- Hands-on experience with GCP tools (BigQuery, Dataflow, Cloud Composer, Cloud Functions, Pub/Sub)
- Deep expertise in log-level AdTech data and SQL
- Proven experience integrating data from APIs and third-party connectors
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