Required Skills

bigdata big data big data architect aws

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :-

  • PG :-

Other Information

  • No of position :- ( )

  • Post :- 29th Jan 2021

JOB DETAIL

Here is the job detail:

 

Job Title: Big Data Architect

Location: Libertyville, IL

Duration: 6 Months +

 

Responsibilities:

 

Required skills that are not specified in the job description are AWS / cloud. AWS experience in design and architecture of data pipelines with S3, Redshift, Glue, etc ... AWS certifications a plus. Ideal candidate would have the AWS experience just described, Hadoop (in the JD) and strong experience in big data platforms. Nice to have skill set would be Informatica Power Center and Big Data Manager (BDM).

 

Description:

 

The Big Data Architect will be responsible for the design and build of world class high-volume real-time data ingestion and processing frameworks and advanced analytics on big data platforms. He/She will research, develop, optimize, and innovate frameworks and patterns for enterprise scale data analysis and computations as part of our Big Data, Connected Car and Internet of Things initiatives.
• Work as an integrated member of the technology team and drive cross functional international Big Data initiatives from beginning to end: build relationships with partner teams and stakeholders in Germany and the US, distill and present key insights in support of decision making
• Design and Build world class high-volume real-time data ingestion and processing frameworks and advanced analytics on big data platforms.
• Research, develop, optimize, and innovate frameworks and patterns for enterprise scale data analysis and computations as part of our Big Data, Connected Car and Internet of Things initiatives.
• Lead the implementation of Hadoop platform strategy development by creating architecture blueprints, validating designs and providing recommendations on the enterprise platform strategic roadmap
• Present technology solutions to senior leadership in Germany and the US in verbal, visual, and written media and influence architecture decisions that will lead the transformation of our Connected Car analytics platform and IT overall.
• 3+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks like Apache Nifi, Talend, Spring XD.
• 3+ years’ experience in designing and implementing big data solutions. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
• Research the tool market, follow new research streams and build partnerships with start-ups, universities and local communities

Education Requirements: A Bachelor’s degree in Computer science engineering or related field

Qualifications:
• 4+ years’ programming/scripting languages Java and Scala, python, R, Pig
• 2+ years of experience of developing solutions in cloud environments (Azure, AWS etc) with focus on analytics stack.
• 2+ years of experience in big data streaming frameworks, data processing and real-time ingestion patterns.
• Experience working with and evaluating open source technologies and demonstrated ability to make objective choices
• Experience architecting highly scalable, highly concurrent and low latency systems
• Experience scaling applications to processing multiple petabytes
• Experience with Visualization Tools such as Tableau
• Knowledge of software/data design methods, data structures, and modeling standards
• Knowledge of Chef scripting, Docker containers
• Working Experience with continuous integration and continuous delivery tools
• Experience with multiple cloud computing platforms
• Experience with more than one data streaming technologies
• Understanding of Machine Learning skills (like Apache Mahout, Spark MLib)
• Ability to communicate complex architectures and insights in a clear, precise, and actionable manner

Company Information