Data Engineer
Mpower Plus Rezolve Ai Group Ltd
Tampa, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tampa, United States of America
Tech stack
Authentication Protocols
Big Data
Cloud Computing
Cloudera Impala
Continuous Integration
Data Structures
Relational Databases
DevOps
Distributed Systems
Elasticsearch
Hadoop
Hadoop Distributed File System
MapReduce
Hive
Machine Learning
NoSQL
Logstash
Solr
Spark
Build Management
Containerization
Kubernetes
Druid
Kafka
REST
Software Version Control
Data Pipelines
Docker
Microservices
Job description
We are seeking a Data Engineer to design and build scalable data pipelines that ingest, cleanse, and standardize data for analytics and machine learning use cases. The role involves collaborating with Data Scientists and Data Modelers to operationalize ML models and deploy outputs via microservices, dashboards, reports, and automated notifications., * Build and maintain end-to-end data pipelines for ingestion, transformation, and standardization
- Deploy and operationalize machine learning models into production environments
- Enable model output delivery via microservices, dashboards, reporting, or email automation
- Ensure performance, scalability, and reliability of data workflows
- Collaborate with cross-functional teams including Data Science and Data Modeling teams
Requirements
- Big Data and Cloud technologies for building data pipelines
- Strong DevOps experience (CI/CD, source control, deployments)
- Containerization tools: Docker, Kubernetes
- Experience with tools like Druid, Elasticsearch, Logstash
- Strong knowledge of Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
- Solid understanding of distributed systems, data structures, and algorithms
- Experience with Microservices architecture
- Hands-on with REST APIs and authentication mechanisms
- Knowledge of RDBMS and NoSQL databases
