AI Data Engineer III
Sixt SE (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 22–38 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of end-to-end data automation workflows including ingestion, transformation, validation, and distribution with minimal human intervention.
- Architect and integrate cloud-based data solutions (Data Lake, Data Warehouse) supporting analytics, machine learning, and AI-powered self-service.
- Drive adoption of Large Language Model (LLM) augmented capabilities such as RAG pipelines, semantic search, and AI-assisted data products inside the data platform.
Minimum Requirements
- 7+ years professional experience as a Senior Data Engineer with hybrid Data Lake and Data Warehouse expertise.
- Proficient in cloud analytical warehouses (Redshift, Snowflake), data transformation with dbt, and workflow orchestration using Apache Airflow.
- Advanced skills in Python and SQL programming.
- Bachelor's or Master's degree in Computer Science or similar discipline.
Ideal Candidate Profile
- Experienced in architecting scalable data platforms with automation in hybrid cloud environments using AWS and modern orchestration tools.
- Demonstrated ability to implement agentic workflows leveraging LLMs for data quality, validation, and coding assistance.
- Strong foundation in engineering best practices including CI/CD, testing, agile methods, version control, and distributed systems knowledge.