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Mid-senior, popular Data Engineer role in metro with broad skillset attracts moderate applicant competition.
Core data engineering skills transfer across industries, while LLM/agentic platform experience moderately narrows fit.
Explicit 7+ years and multiple mandatory data platform, dbt, Airflow, Python, and LLM skills create strict shortlisting.
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Lead design and implementation of AWS and big data technologies to build and integrate the SIXT Data Shop platform.
Architect solutions with Data Engineers, BI Analysts, and Data Scientists for analytical use cases including dashboards, ad hoc analysis, data products, and machine learning.
Develop multi-agent workflows and drive adoption of LLM-augmented capabilities to automate data operations with minimal human intervention and enable AI-assisted self-service.
7+ years of professional experience as a Senior Data Engineer with hybrid Data Lake and Data Warehouse architectures expertise.
Mandatory skills: advanced Python and SQL, experience with Redshift or Snowflake, dbt, Apache Airflow, code versioning (GitHub), CI/CD pipelines (Jenkins).
Bachelor's (B.Tech or B.E.) or Master's degree in Computer Science or related discipline.
Proven experience in ELT automation, distributed systems, data management fundamentals, and agile engineering best practices.
Experienced in architecting and operationalizing end-to-end data platforms combining cloud data warehouses and agent-based automation.
Strong technical background with hands-on skills in AI workflows, including LLMs, RAG systems, and agentic automation frameworks.
Capable of leading innovation and driving adoption of AI-augmented data solutions within a fast-paced, hybrid cloud environment.