Databricks Data Engineer - AWS
TalentOla View all jobs
Wilmington, DE, United States
21 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Amazon S3
Extract Transform Load (ETL)
Elasticsearch
Identity and Access Management
MongoDB
Networking Basics
Query Optimization
Data Streaming
Istio
Apache Spark
+14 more
Software Troubleshooting
Indexer
Amazon Virtual Private Cloud (VPC)
Backend
Event Driven Architecture
Data Lakes
Pyspark
AWS Data Analytics
Machine Learning Operations
Cloudwatch
Api Gateway
Amazon Simple Queue Service (SQS)
Serverless Computing
Databricks
Job description
- AWS backend engineering ( IAM, VPC/networking basics, CloudWatch, S3, ALB/API Gateway, ECS/EKS or Lambda, and RDS/Aurora, MongoDB etc)
- Python Backend API engineering
- Amazon DocumentDB expertise (Data modeling for documents, indexing/query tuning, connection management, performance troubleshooting, backup/restore, and understanding MongoDB-compatibility constraints)
- Container platform (EKS/ECS scaling, service mesh basics, blue/green or canary deployments)
- Nice to have
- Data/analytics & search (OpenSearch/Elasticsearch, streaming ingestion, and building read models for search/reporting)
- Serverless-first expertise (Advanced Lambda patterns, Step Functions,)
-
Event-driven + orchestration patterns (SQS/SNS/event-driven architecture and designing resilient async workflow)
- Experience
- AWS Full stack developer with Document DB experience
Requirements
- Deep knowledge in Databricks & AWS eco-systems
- Delta Lake + Lake house architecture (Lake flow, Lake Base)
- PySpark/Scala Spark
- High volume Production-grade Databricks ELT/ETL engineering
- Nice to have
- Streaming/DLT experience
- ML Ops on Databricks
- Data Mesh architecture knowledge
- Advance cost/performance engineering
- Experience
- Databricks & AWS data engineer
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