Role OverviewJoin our Measurement and Reporting team as a Senior Software Engineer to design, build, and maintain large-scale data platforms and pipelines. You will work on developing agentic AI applications, leveraging LLMs, AI agents, and automation workflows to solve business problems.
What You Will Do
Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems. Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies.
Why It Might Be a Fit
If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, this role might be a good fit.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in data engineering, software engineering, or a related technical role
- Strong experience building and maintaining large-scale data pipelines and distributed data processing systems
- Proficiency in Python and SQL, with experience developing production-grade data solutions
- Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies
- Strong understanding of data modeling, data warehousing, and data lake architectures
- Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience building APIs and backend services
- Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks
Benefits
- equal work opportunities to all team members and applicants
- prohibits discrimination and harassment of any type
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