Urgent requirement for - Golang Developer and Java AWS Developer and Data Engineer

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Rahul Teja

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Jan 25, 2021, 3:21:19 PM1/25/21

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Hello Partners.
Please share your consultant resumes to E-mail: ra...@lor-venk.com / phone: 804-554-1121.

1)Role: Go Lang Developer

Client: Capital One

Location: McLean, VA
Duration: long-term

Any visa is accepted / H1B transfers and all EAD’s accepted

Minimum Experience:
Description:
Building REST APIs in Golang and interface with downstream APIs using GoLang libraries.
Experience in deploying and supporting Golang application at enterprise scale
Worked on Goroutines to handle concurrent processing and data collection.

Call Notes:
Role Info:
Building Rest APIs on Golang
Optimizing code
Deployment

Top Skills:
Must have Go Lang exp
Rest APIs Exp is a must
Here's the Go framework that we would consider a preferred item: https://godoc.org/github.com/gorilla/mux.

2)Role: Java Developer with AWS

Client: Capital One
Location: McLean, VA
Duration: Long term

Any visa is accepted / H1B transfers and all EAD’s accepted

Description:
Candidate will Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Work with cloud native stack, build on AWS, use technologies like Kubernetes and Serverless

Basic Qualifications:
Bachelor's Degree
At least 4 years of experience in software engineering

Preferred Qualifications:
2+ years of experience in Agile practices
1+ years of experience with AWS, GCP, Microsoft Azure, or another public cloud service
4+ years of experience in at least one of the following: Java, Scala, Python, Javascript/TypeScript, or Node.js
2+ years of experience working on REST APIs and releasing them to a production environment
2+ years of experience working with big data technologies (e.g. Hadoop, Spark, Presto)
2+ years of experience working on streaming data applications (e.g. Kafka, Kinesis, Flink, or Spark Streaming)
1 year+ experience with CICD pipelines (CircleCI or Jenkins)
4+ years of experience in open source frameworks.

3)Role: Sr. Data Engineer/ Big Data/ Hadoop/ Spark/ ML Engineer

Client: Capital One
Location: Richmond VA and Plano TX
Duration: Long term
Any visa is accepted (OPT, CPT, H1B, H1B Transfers, GC, GC-EAD, H4-EAD, USC, E3, L2-EAD)
Minimum Experience: 8+ years/ Mandatory

Description:

1. Designs, modifies, implements, tests, and provides operational support for enterprise software products and platforms, including software infrastructure and development tools for Data Platform components and modules in AWS-hosted environments

2. Engages in building solutions leveraging technologies including but not limited to Scala, Spark, Hive and AWS services such as EC2, S3, EMR, ELB, Kinesis, SNS, Redshift, Data Pipelines

3. Provides consultation on complex projects and is considered to be a top-level contributor

4. Relies on extensive experience and judgment to plan and accomplish goals according to timelines and budgets agreed upon with business stakeholders

5. Communicates proactively and effectively with team members and other project stakeholders in a highly Agile environment.

Required Skills:

1. Minimum of 7 years in the IT industry with a focus on the development of complex business systems.

2. Strong knowledge and minimum of 3 years of hands-on experience with Big Data technologies with data stores such as DynamoDB, Cassandra and related tools and systems

3. Deep technical understanding of Spark, and Hive.

4. Strong background in Scala, relational databases, and complex systems integration.

5. Experience building and supporting complex systems in AWS Cloud environment

6. Experience in data modeling for NoSQL databases

7. Strong knowledge of continuous integration and deployment, test driven development, and unit test automation

8. Experience in developing an enterprise product line using Agile-Scrum development methodologies