Job Description :

Azure Infrastructure Architect

Job Location: Fremont, CA

Duration: Long Term Contract

Data Engineering Infrastructure and Application Lead


Responsible for delivering and implementing solutions for client’s engineering environments. Focused on building large distributed systems deployments for our large scale IOT and high-performance computing environments
Hands on experience in HPC and Big Data (Hadoop based) platforms and in scoping latest hardware (cloud/on premise)
Design and implementation security systems and security technologies
Developing virtual private networks (VPNs), routers, firewalls, and related security and network topologies
Design of public key infrastructures (PKIs), including use of certification authorities (CAs)
Production support and maintenance of Active Directory Infrastructure.
Administration of DNS, DHCP
Iterate quickly through latest packages and R&D on latest information.
Work with Product Management and multiple business units for requirement gathering and iteratively refine architectural proposals
Support upstream and downstream use cases with integration with existing Big data ecosystem.

Desired Skills and Experience

Undergraduate/Ms degree in Computer Science or distributed systems
Experience with Linux based OS’s such as CentOS, Redhat, Ubuntu
Experience working as infrastructure lead in Azure ecosystem
Experience in working with Microsoft Azure services and application architecture and strong knowledge about Even Hub, ADLS, Blob Storage, Data Factory, Data Bricks, SQL WH etc
Must have strong experience in Big Data, ETL design and development, methodologies, tools, processes and best practices
5 years’ experience in Java/C++/Object Oriented systems programming and/or python, shell scripting (e.g. bash, PowerShell)
Experience building and deploying enterprise scale applications, familiarity with GPU computing
Understanding of Machine learning, simulation, and massive parallel compute architectures
Performance analysis and optimization, experience architecting and deploying highly reliable systems (HA, ACID, guaranteed delivery etc
Experience with scalable computer architectures (on premise and cloud (private cloud e.g. Openstack
Experience with distributed computing/storage technologies like Hadoop (Map/Reduce, HDFS, HBase, in memory compute etc, containerization such as docker
Understand requirements and goals for distributed computing. Prior exposure to MOAB/SLURM and Cyclecloud strong plusses. Experience with InfiniBand and clustered file systems
Design the appropriate computing and storage architecture to meet the customer goals
Hands-on engagement in the build out and delivery of the architecture
Experience operating in a Hybrid cloud environment and connectivity, prior exposure to Azure IaaS or equivalent required


Azure Apps Developer (Technical Lead)

Job Location-Fremont, CA

Duration-Long Term Contract

Required Skills:

Strong experience with MS .NET, SQL Server, VSTS, SonarQube
Strong experience in Azure PAAS Services.
Exp building API integrations(using .Net Core)
Exp in Azure(Azure function, API, API Management and logic apps)
Exp in iterative, agile methodology, or SCRUM preferred
Experience with Power Platform will be huge plus but not mandatory.


Job Title- Azure Data Engineer (Azure Application Engineer)

Job Location-  Fremont, CA

Work Type- 12+ month Contract

Skills Requirements

7+ years of strong SQL experience
5+ years of experience in Designing, building and launching extremely efficient & reliable data pipelines for movement of data to and from disparate source systems
4+ years of experience in working with Microsoft Azure and strong knowledge about Even Hub, ADLS, Blob Storage, Data Factory, Data Bricks, SQL WH etc.
5+ years of experience in creating data pipelines using technologies like Informatica, Talend etc.
5+ years of building and launching new data models that provide intuitive analytics for the analysts and customers.
Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices.
3+ years of development experience in Open Source technologies like Python or Java preferred.
Familiarity in Big Data processing using Apache Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark, Kafka and HDFS preferable preferred.
Excellent query writing skill and communication skills preferred.
Familiarity with common API’s: REST, SOAP preferred.


Big Data Devops Engineer (Local candidate only who can come for face to face interview)

Job Location- Atlanta, GA

Experience Range-7+ years


Should have strong experience in Spark.
Should have strong experience in AWS cloud.
Should be strong in Python.
Should have experience in messaging tools-Kafka preferably.
Should be strong in SQL Analytics.
Must have created CI/CD pipeline and good in Jenkins, GIT.
Should be good in Linux and Docker.