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Overview
Talent Acquisition Leader | Expert in Statistical Hiring & Data-Driven Recruitment Strategies
Responsibilities
- 3–5 years of hands-on experience in data engineering or data management, preferably within data-driven domains, with a strong focus on problem-solving and automation.
- Design, develop, and maintain scalable Python & SQL based ETL pipelines to process, transform, and integrate large volumes of structured and semi-structured data.
- Proven experience working with cloud data warehouses, especially Google BigQuery and SQL, managing datasets, optimizing queries, and ensuring data accuracy and availability.
- Ability to collaborate with analysts and business teams to identify key performance indicators and ensure they are accurately captured and transformed.
- Excellent written and verbal communication skills to document processes and engage with stakeholders.
- Comfortable working with large datasets and translating raw data into clean, analysis-ready outputs.
- Ability to manage multiple data workflows and projects simultaneously, ensuring timely and reliable delivery.
- Strong written and verbal communication skills.
- Able to work successfully with teams, handling multiple projects and meeting timelines.
- Maintaining positive client and vendor relationships.
Nice to have Skills
- Good-to-have understanding of media metrics, custom KPIs, and the relationship between different performance metrics to support accurate reporting and decision-making.
- Familiarity with data visualization tools such as Tableau, Power BI, Looker, or Data Studio is a plus to support the creation of insightful dashboards and reporting layers.
- Familiarity with sources like DCM, Facebook Business Manager, Twitter, Innovid, Sizmek, Kenshoo, Nielsen, Kantar, MediaMath, Prisma, AppNexus, Amazon Pacing, is preferred
- Strong project management and administrative skills
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