Senior Data Engineer
Radancy (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 16–28 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize cloud-based data models, schemas, and pipelines to support analytics, AI, and insights products.
- Build and maintain reliable, high-quality data pipelines integrating diverse internal and external data sources, focusing on pipeline performance, observability, and cost efficiency.
- Collaborate with cross-functional teams to deliver AI-powered agentic data solutions and ensure data security, governance, and documentation adherence.
Minimum Requirements
- 5-8 years of experience in data engineering with strong hands-on skills in SQL, Python, and data modeling.
- Experience with data pipeline orchestration tools like Apache Airflow and cloud data platforms such as Google BigQuery, Amazon Redshift, Databricks, or Snowflake.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- Familiarity with distributed data processing (e.g., Spark, Kafka) and data quality/validation practices.
Ideal Candidate Profile
- Experience building data platforms supporting AI analytics, conversational insights, or business intelligence solutions preferred.
- Exposure to Generative AI tools (e.g., OpenAI, GitHub Copilot) and ability to leverage AI-assisted engineering tools to improve productivity.
- Domain experience or preference for AdTech, recruitment technology, HR technology, or talent acquisition data environment.