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Position: AWS Data Engineer (AWS services Must)

Location: Franklin, TN  (Onsite from Day 1)

Type: Contract

 

Job Description:

 

NOTE ? Must be strong with AWS tools (EC2, S3, EMR, RDS, Lambda, DMS,
Kinesis, Glue) and Python. Snowflake is plus


Roles & Responsibilities:- 

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 the customer technology landscape arrive at solutions
which is more Agile, scalable, and Cost-effective.

·         Provide Proactive proposals to customers on Cloud Strategy.

·         Understand Customer Problem Statements and leverage Ai/ML
Capabilities for Solutions.

·         Build reusable artifacts 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

·         8+ Years? experience in Enterprise Solutions and 3+ 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 deadlines

·         Proficient in Solutioning for Real time Analytics

 


Reference : AWS Data Engineer jobs

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Published at 27-02-2023
Viewed: 85 times