Data Engineer III - Data Engineering, Databricks, Model Serving, ML Ops, Data Architecture and modeling
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Designs, develops, and maintains large-scale data pipelines and architectures using Apache Spark and Databricks for batch and streaming workloads.
- Supports ML model serving infrastructure including deployment, monitoring, and scaling of trained models; collaborates on MLOps practices.
- Translates cross-functional business requirements into technical data solutions while ensuring data quality, lineage, security, and governance compliance.
Minimum Requirements
- 3+ years applied experience with formal training or certification in data engineering concepts.
- Hands-on proficiency with Apache Spark, Databricks (including Delta Lake, job orchestration, cluster management), and strong SQL skills.
- Experience supporting ML model serving infrastructure and familiarity with MLOps tooling and practices.
- Working knowledge of cloud data platforms (AWS, Azure, or GCP) and version control systems such as Git.
Ideal Candidate Profile
- Experienced in handling production-level data pipelines and ML infrastructure in regulated industries such as financial services.
- Strong background in data architecture, data modeling, and distributed computing with operational focus on scalable, secure, and cost-efficient solutions.
- Skilled in integrating AI-assisted development tools within SDLC processes, ensuring code quality, security, and automation in complex deliverables.