Sav - Data Engineer - Python / LLM

Responsibilities :

• Build and maintain Savs data infrastructure, pipelines, and storage systems for structured and unstructured data
• Ingest and normalize 350+ user-level data points across banking APIs, behavioral events, transaction data, and 3rd party services
• Architect a data mesh that allows distributed ownership but unified insight
• Set up and maintain modern ELT / ETL pipelines with performance, cost, and scale in mind
• Integrate LLM tooling (Ollama, Gemini, OpenAI) into data workflows for real-time inference and analysis
• Enable self-service data access and build visualization layers using tools like Looker, Metabase, or Superset
• Collaborate with data scientists and ML engineers to build model-ready datasets and ensure feature consistency
• Own data quality, governance, security, and documentation
• Continuously improve latency, observability, and cost-efficiency of data :
• 4-7 years of hands-on experience as a Data Engineer or in a similar data infrastructure role
• Strong programming skills in Python, SQL, and experience with dbt or similar tools
• Experience building data pipelines using modern stack : Airflow, Kafka, Spark, or equivalent
• Familiarity with cloud data platforms (GCP preferred), BigQuery, Firestore, or similar
• Experience handling large-scale transactional and behavioral data
• Bonus : Prior experience integrating LLMs / AI APIs (Ollama, OpenAI, Gemini) into analytics or automation workflows
• Good understanding of data warehousing, governance, and privacy-by-design principles
• Self-starter, comfortable in 0 / 1 environments, and excited to work cross-functionally with tech and non-tech teams
• Clear communication and documentation :
• Be part of a mission-driven fintech scaling across the GCC.
• Work alongside a passionate and visionary leadership team.
• A flat, fast-paced, no-drama culture with high ownership and high trust
• Work alongside a globally distributed team of experienced builders
• Compensation : INR 12-24LPA + ESOPs + Employee benefits

(ref : hirist.tech)