Overview
Field Engineer working embedded with clients to architect and build mission-critical integrations, automations, and data solutions.
What you'll do
- Deploy to client sites (virtual or in-person) to deliver custom integrations, automations, and data pipelines.
- Design and implement production-grade solutions to improve client onboarding efficiency.
- Build AI/LLM/machine learning-driven automation for complex data transformation, validation, and reconciliation.
- Serve as technical owner for ADX implementations, designing data infrastructure within Databricks.
- Translate ambiguous client requirements via discovery, prototyping, and iterative delivery.
- Write production-quality Python code for ETL pipelines, API integrations, and automation tooling.
- Lead technical workstreams end-to-end from requirements through production deployment.
What you'll need
- 2+ years of experience in software engineering, data engineering, or forward-deployed technical roles.
- Advanced Python proficiency for production-grade applications, APIs, and data pipelines.
- Strong understanding of REST APIs, authentication patterns, and integration architecture.
- Hands-on experience with Databricks, Spark, and distributed data processing frameworks.
- Proficiency in SQL and experience with large-scale datasets across relational and NoSQL databases.
- Experience designing and implementing ETL/ELT pipelines for complex data transformations.
- Familiarity with AI/ML tools and implementing LLM-driven automation solutions.
- Strong understanding of financial data domains including portfolio management and performance analytics.
Details
- Requires working from Pune office 3 days a week in UK shift (2:30 PM to 11:30 PM IST) (hybrid role).
Read the full description and apply on the company’s own careers page.
