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Data Engineer / Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Architect based in Lake Mary, FL (Hybrid) for 12-24+ months, offering a competitive pay rate. Key skills include MySQL, PostgreSQL, AWS, automation scripting, and data warehousing experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 23, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Orlando, FL
🧠 - Skills detailed
#Data Engineering #BigQuery #NoSQL #SQL Queries #JSON (JavaScript Object Notation) #Infrastructure as Code (IaC) #Azure SQL #Database Security #Grafana #MySQL #pgAdmin #Kubernetes #Prometheus #Python #Amazon RDS (Amazon Relational Database Service) #Schema Design #Azure SQL Database #Indexing #Scripting #Terraform #Database Management #Amazon Redshift #MongoDB #PostgreSQL #Monitoring #Azure #Redshift #Ruby #YAML (YAML Ain't Markup Language) #Replication #Bash #SQL (Structured Query Language) #Docker #AWS (Amazon Web Services) #Redis #Snowflake #Compliance #Clustering #Security #RDS (Amazon Relational Database Service) #Ansible #Automation #Cloud
Role description

Title: Data Engineer / Architect

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Location: Lake Mary, FL(Hybrid)

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Duration: 12-24+ Months

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Skills:

   • Database Management: MySQL, PostgreSQL, MongoDB, Redis, Cassandra

   • Performance Optimization: Query tuning, indexing, caching, Percona Toolkit, pgAdmin

   • High Availability: Replication, clustering, failover strategies

   • Monitoring and Alerting: Prometheus, Grafana, ELK Stack

   • Automation: Advanced scripting (Python, Bash, Ruby, Go), CI/CD pipelines

   • Incident Response: Root cause analysis, post-mortem reviews

   • Cloud Platforms: AWS, Azure, Google Cloud, Amazon RDS, Azure SQL Database

   • Configuration Management: Ansible, Terraform, Kubernetes, Docker

   • Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake

   • Security: Database security best practices, encryption, compliance standards

​

Language Proficiencies:

   • SQL: Queries, complex joins, window functions, stored procedures

   • NoSQL: Schema design, indexing strategies, performance tuning

   • Scripting Languages: Python, Bash, Ruby, Go

   • Infrastructure as Code: YAML, JSON, HCL

​

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