
Sav - Data Engineer - Python/LLM
3 days ago
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 systems
Requirements :
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 skills
Benefits :
- 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
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