Job Location: Franklin, TN
Job Detail:
Position :- AWS Data Analytics
Location :- Franklin TN (Day 1 onsite)
Duration: Long Term
Technical Skillset (Mandatory)
Big Data Tools: Hadoop, Cloudera (CDP), PySpark, Kafka, etc.
Data Pipeline & Integration: Airflow, Kafka, Informatica Cloud (IICS), PowerCenter
Data Governance: EDC, AXON
Stream-Processing Systems: Storm, Spark-Streaming, AWS Kinesis
Databases: Relational, Amazon DynamoDB, Mongo DB, Snowflake, Postgres.
AWS Cloud Services: EC2, S3, EMR, RDS, Lambda, DMS, Kinesis, Glue
Object-Oriented Languages: Python, R
Technical Skillset (Optional)
Visualization Tool: SAP Business Objects, Tableau
Role And Responsibilities
Enhance our cloud capability by creating and implementing cloud application patterns
Develop and implement ways to move apps and workloads to the cloud
Work closely with business leads and product owners to understand solution requirements and identify architectural patterns
Write and develop cloud automation playbooks for managing and scaling containers, hosts, cloud services, and applications
Monitor compliance of cloud resources to see if they fit industry guardrails and best practices
Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services
Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration
Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents
Work with DevOps and engineering teams to develop service catalogs
Based on customer technology landscape arrive at solutions which is more Agile, scalable, and Cost effective.
Provide Proactive proposals to customer on Cloud Strategy.
Understand Customer Problem Statements and leverage Ai/ML Capabilities for Solution.
Build reusable artefacts and accelerators in Cloud
Collaborate with technical and business users to develop and maintain enterprise wide solutions and standards to provide data required for metrics and analysis
Project Specific Requirement (if Any)
Data-oriented personality, good communication skills, and an excellent eye for details.
Certifications in AWS Cloud, Machine Learning Programs
Relevant Experience Required
12 + Years’ experience in Enterprise Solutions and 5+ Years in Cloud preferably AWS.
Proficient understanding of distributed computing principles.
Strong knowledge and practical experience with AWS
Strong programming skills with experience in Webhook and API development using Node.js, Ruby, Python, Shell, and PowerShell
Familiarity with modern cloud application architecture
Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases
Thorough understanding of ML, data analysis, data visualization, and event-driven architecture
Familiarity working with large systems
Experience with setting up load balancers, cloud networks, and virtual servers
Capable of working under tight deadline
Proficient in Solutioning for Real time Analytics
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