Azure AI Engineer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)

Skills

Amazon DynamoDB
Amazon Web Services
Apache Cassandra
Apache HBase
Apache Hadoop
Apache Hive
Apache Kafka
Apache Oozie
Apache Pig
Apache Spark
Artificial Intelligence
Big Data
Cloudera
ELT
Docker
Distributed Computing
Data Warehouse
Google Cloud Platform
Good Clinical Practice
IBM
Hortonworks
IBM DB2
IBM WebSphere
IBM WebSphere MQ
Java
Kubernetes
PL/SQL
Oracle SOA
MongoDB
MapReduce
PostgreSQL
Middleware
Management
Problem Solving
Shell Scripting
Regulatory Compliance
Network
Extract
Transform
Load
Computer Science
MySQL
Network Security
Python
HDFS
Stacks Blockchain
Microsoft Azure
Elasticsearch

Job Details

Looking for skilled technical lead with deep expertise with expertise on Azure AI or BA Insights or Elastic Search and having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems (Hadoop, Spark, Kafka, etc.), and cloud platforms (Azure, AWS, Google Cloud Platform). The candidate should have hands-on working experience using Oracle, IBM tool stacks, and middleware/container technologies in designing, implementing, and optimizing complex enterprise solutions. This role will involve in designing, architecting, overseeing implementation of complex, scalable, secure & high-performance solutions and optimizing large-scale data search and retrieval systems across distributed environments.

Experience Requirements:
10+ years of experience of IT Experience.
Minimum of 3 Years as Technical Specialist/ Consultant or similar role, designing complex enterprise-level solutions involving Elastic Search Capabilities.
Qualifications:
Bachelor s or master s degree in computer science, Engineering, or a related field.
Primary Skill: Azure AI or Elastic Search or BA Insights
Skill Requirements:
Sound experience in solution architecture, database management, and enterprise IT solutions.
Proven hands-on experience architecting solutions involving Azure AI & Search Technologies.
Expertise in database technologies: Elastic Search.
Good experience in architecting solutions across multiple cloud platforms (Preferably Azure).
Expertise in database technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, DynamoDB, IBM DB2, IMS.
Proficiency on big data solutions using the Hadoop ecosystem (HDFS, Hive, HBase, Oozie, Pig, MapReduce, Spark, Scala, Kafka, Elasticsearch, Presto).
Hands-on experience with data warehousing, ETL/ELT pipelines, and distributed computing.
Experience in middleware and containerization: IBM WebSphere, IBM MQ, Oracle SOA, Docker, Kubernetes.
Strong programming and scripting skills: Python, Java, SQL, Shell scripting.
Deep understanding of networking, security, and compliance standards.
Excellent analytical, problem-solving, critical-thinking and communication skills.
Preferred Qualifications:
Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect, Google Professional Cloud Architect).
Big Data certifications (Cloudera, Hortonworks, Databricks, etc.).

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