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Metro Bengaluru and popular data-engineer profile increase competition, but specialized AI+dbt skills moderately restrict applicant pool.
Data-platform, dbt and Airflow experience transfers broadly, but LLM/agentic expertise narrows fit somewhat.
Explicit 7+ years and specific dbt, Snowflake/Redshift, Airflow, Python, and LLM experience required.
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Lead design and implementation of AWS and big data technologies to build and automate the SIXT Data Platform’s data workflows and integrations.
Collaborate with Data Engineers, BI Analysts, and Data Scientists to architect solutions for analytics, machine learning, and data-as-a-product use cases.
Drive adoption and development of LLM-augmented AI capabilities including RAG pipelines, semantic search, and AI-assisted self-service within the Data Shop.
7+ years of experience as a Senior Data Engineer with expertise in hybrid Data Lake and Data Warehouse architectures.
Strong proficiency in AWS cloud services, Redshift or Snowflake, dbt for data transformation, Apache Airflow for workflow orchestration.
Hands-on experience with AI coding assistants, LLM-driven agentic workflow automation, RAG systems, plus good Python and SQL skills.
Bachelor’s or Master’s degree in Computer Science or a related discipline.
Experienced in designing and automating end-to-end data pipelines from ingestion to analytics dashboards using ELT methodologies.
Skilled at integrating AI and large language models for enhancing data platform capabilities and self-service analytics.
Operates effectively in collaborative and fast-paced hybrid cloud environments, with a strong foundation in engineering best practices including CI/CD and quality validation workflows.