Role:- Big Data Engineer (AWS services Must)

Location:- Franklin, TN (Onsite)



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 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

· 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 deadline

· Proficient in Solutioning for Real time Analytics






Reference : Big Data Engineer jobs

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