Data Engineer Lead
Data Engineer Lead
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1 Vacancy
Job Description
Client Name: Tranzeal
End Client Name: Intuit
Job Title: Data Engineer Lead (NoSQL)
Location: Mountain View CA
Work Type: Onsite (Must work from the office)
Job Type: Contract
Rate: $80/hr on Tranzeal W2 (no benefits)
Vendor Referral: Minimum $9/hr billing
LinkedIn needed
Notes:
- Extremely urgent role - Start Date: August 1st
- Immediate joiners preferred
- Must have strong leadership and deep NoSQL experience
- Local to Mountain View or able to relocate and work onsite full-time
Job Description:
We are seeking a highly experienced and driven Data Engineer Lead (NoSQL) to architect and oversee the implementation of scalable NoSQL database solutions for high-throughput distributed systems. The candidate will work closely with development and DevOps teams to ensure the optimal structure reliability and performance of data systems in support of business-critical applications.
Key Responsibilities:
- Lead the design implementation and maintenance of NoSQL database systems to support high-throughput applications.
- Collaborate with architects and developers to define database strategies for scalable secure and reliable systems.
- Design and implement data models and access patterns based on business and application needs.
- Define and enforce best practices around schema design indexing sharding replication and partitioning.
- Manage data migration strategies from RDBMS to NoSQL where applicable.
- Monitor database health implement alerting mechanisms and troubleshoot performance issues.
- Work closely with DevOps to ensure backup recovery and HA/DR strategies are in place.
- Mentor junior engineers and provide technical leadership on NoSQL topics.
- Stay updated with evolving NoSQL technologies tools and trends.
- 6 10 years of experience in database engineering with at least 3 years as a NoSQL lead or architect.
- Deep hands-on experience with one or more NoSQL platforms (e.g. MongoDB Cassandra Couchbase Redis DynamoDB).
- Strong understanding of distributed computing CAP theorem eventual consistency and data partitioning.
- Experience with cloud-based database services (AWS DynamoDB Azure Cosmos DB GCP Firestore etc.).
- Solid knowledge of data modeling query optimization and performance tuning.
- Scripting and automation experience (Python Shell or similar).
- Excellent problem-solving communication and stakeholder engagement skills.
- Certification in MongoDB Cassandra or a relevant NoSQL platform.
- Experience working in Agile/Scrum development environments.
- Exposure to streaming systems like Kafka or real-time analytics platforms.
- Familiarity with DevOps CI/CD pipelines and Infrastructure as Code (Terraform Ansible etc.).
Employment Type
Full-time
