Senior Data Engineer
Jones Lang LaSalle Incorporated2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and lead scalable, fault-tolerant data ingestion, transformation, serving, and orchestration pipelines using Python, PySpark, Databricks, Azure Data Factory, Airflow, or Databricks Workflows.
- Design data services and APIs with FastAPI, including data asset versioning and backward compatibility.
- Define data modeling, Delta Lake, lakehouse, schema evolution, optimization, partitioning, caching, and high-throughput serving standards.
- Architect and productionize Agentic AI workflows, including self-healing pipelines, anomaly detection, automated data quality remediation, LLM-powered natural-language data queries, RAG pipelines, and multi-agent orchestration.
- Integrate Azure OpenAI and other LLM APIs into data services while defining evaluation, guardrail, accuracy, latency, cost, and prompt-safety practices.
- Lead event-driven workflows and distributed task processing using Azure Service Bus, Dapr, and Celery.
- Drive CI/CD, infrastructure-as-code, testing, logging, observability, data governance, security, and compliance practices for data and AI platforms.
- Mentor P1/P2 data engineers, lead design and code reviews, own a data domain through production operation, and influence technical roadmaps and architecture decisions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent professional experience.
- 6+ years of professional data engineering experience with strong Python and SQL proficiency.
- Proven experience architecting and operating production-scale data pipelines on Databricks, Azure Synapse, or an equivalent cloud data platform.
- Strong hands-on PySpark or distributed data processing experience, including performance tuning.
- Experience owning orchestration strategies across multiple pipelines or domains using Azure Data Factory, Airflow, Databricks Workflows, or similar tools.
- Deep familiarity with Delta Lake, lakehouse architecture, or comparable open table formats, including schema evolution and optimization.
- 2+ years of hands-on experience building and shipping AI/ML integrations, LLM-powered features, or agent frameworks in production.
- Experience building scalable data services and APIs with Python web frameworks, preferably FastAPI.
- Demonstrated experience mentoring engineers and leading technical design for medium-to-large initiatives.
- Experience with AI-powered development tools such as Cursor AI or GitHub Copilot, plus strong Git and collaborative development workflow experience.
- Solid working knowledge of Microsoft Azure and experience with data modeling, streaming and batch pipelines, RAG, NL-to-SQL, prompt engineering, function calling, multi-agent orchestration, and evaluation or guardrails.
- Strong communication, ownership, technical influence, planning, estimation, and risk-identification skills; experience working with Agile methodologies is expected.
Benefits
- Competitive pay and benefits package through JLL’s Total Rewards Program.
- Entrepreneurial and inclusive work environment with opportunities for learning and technical development.
- On-site role in Bengaluru, Karnataka, with a scheduled 40-hour workweek.
Tech Stack
Categories
AI ApplicationsData Engineering
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).