Databricks Data Engineer - AWS

Databricks data engineer (Must have)

Location(s) :

• Primary: Wilmington (DTC), DE
• Secondary:

Interview Process :

• Round 1: In-Person at JPMC location
• Round 2: zoom interview with 2-3 people panel

Skillset

1. Must Have
   1. Deep knowledge in Databricks & AWS eco-systems
   2. Delta Lake + Lake house architecture (Lake flow, Lake Base)
   3. PySpark/Scala Spark
   4. High volume Production-grade Databricks ELT/ETL engineering
2. Nice to have
   1. Streaming/DLT experience
   2. ML Ops on Databricks
   3. Data Mesh architecture knowledge
   4. Advance cost/performance engineering
3. Experience
   1. Databricks & AWS data engineer

Set 2:

1 AWS full stack developer with Document DB or Postgres DB (Must have)

Role Title : AWS full stack Developer

Hiring Manager : Vaibhav Kumar

Location(s) :

• Primary: Wilmington (DTC), DE
• Secondary:

Interview Process :

• Round 1: In-Person at JPMC location
• Round 2: zoom interview with 2-3 people panel

Skillset

1. Must Have
   1. AWS backend engineering ( IAM, VPC/networking basics, CloudWatch, S3, ALB/API Gateway, ECS/EKS or Lambda, and RDS/Aurora, MongoDB etc)
   2. Python Backend API engineering
   3. Amazon DocumentDB expertise (Data modeling for documents, indexing/query tuning, connection management, performance troubleshooting, backup/restore, and understanding MongoDB-compatibility constraints)
   4. Container platform (EKS/ECS scaling, service mesh basics, blue/green or canary deployments)
2. Nice to have
   1. Data/analytics & search (OpenSearch/Elasticsearch, streaming ingestion, and building read models for search/reporting)
   2. Serverless-first expertise (Advanced Lambda patterns, Step Functions,)
   3. Event-driven + orchestration patterns (SQS/SNS/event-driven architecture and designing resilient async workflow)

1. Experience
   1. AWS Full stack developer with Document DB experience