Lead Data Engineer

Amtex Enterprises
San Jose, United States of America
6 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Jose, United States of America

Tech stack

Java
Adaptable Database Systems
API
BigTable
Data Architecture
Data Governance
Data Security
Database Design
Digital Architecture
Distributed Systems
Data Flow Control
Hibernate
Java Persistence API
NoSQL
Oracle
Oracle Applications
Performance Tuning
Query Optimization
Standard Sql
Data Streaming
Google Cloud Platform
Spring Data
Event Driven Architecture
Database Migration
Debezium
Information Technology
Kafka
Domain Driven Design
Apache Beam

Job description

  • Java (Spring Data, JPA/Hibernate)
  • Reactive data access (R2DBC)
  • Google Cloud Spanner and Bigtable
  • Apache Beam / Dataflow (streaming)
  • CDC tools (Debezium, Striim, GoldenGate)
  • Event-driven architecture (Pub/Sub or Kafka)
  • Query optimization and performance tuning, * Design scalable data models and distributed architectures
  • Build migration strategies from Oracle to Google Cloud Platform
  • Optimize high-performance data access patterns
  • Define consistency and transaction strategies
  • Collaborate with engineering teams on APIs and contracts
  • Establish governance and data quality frameworks
  • Evaluate and prototype storage solutions
  • Document architecture standards and decisions

Requirements

  • 8+ years of experience in data architecture and database design
  • Bachelor's degree in Computer Science or equivalent experience
  • Strong expertise in relational and NoSQL databases
  • Deep understanding of distributed systems and CAP theorem
  • Strong SQL and data modeling skills
  • Experience with database migration projects
  • Knowledge of replication, partitioning, and consistency models, * Hands-on experience with Google Cloud Platform Spanner and Bigtable
  • Oracle database administration and migration experience
  • Real-time streaming and CDC technologies
  • Data mesh and domain-driven design principles

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