Solution Architect - Thiruvananthapuram, India - Nissan

Nissan
Nissan
Verified Company
Thiruvananthapuram, India

3 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

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Description

The Role:

Solution architect will own, optimize and maintain the complete end to end architecture of the project/projects. Exposure to Manufacturing, Quality, Engineering, Supply Chain, After-sales Domain would be preferred.


Responsibilities:

The primary responsibilities and

must haves of the solution architect include:

  • Own and drive the architecture for a project / product.
  • Must be able to design the end to end architecture for software engineering projects.
- design, modify, and test technical architecture.

  • Continually research the current and emerging technologies and propose changes where needed
  • Choose the right architecture that would solve the business problems
  • Assess the business impact that certain technical choices have.
  • Provide updates to stakeholders on product development processes, costs and budgets.
  • Lead a team of technical people, mentor and guide them during the solution.
  • Communicate and translate the technical solution to the team and other stakeholders
  • Drive reuse initiatives and promote reuse culture within the team
  • Proficient in creating flowcharts, process flows and data flow diagrams
  • Develop complex modules and proof of concepts
  • Lead and drive performance optimization efforts
  • Define standards and guidelines for the project and ensure team is following those
  • Assist in setting strategic direction for database, infrastructure and technology through necessary research and development activities
  • Automation should be a key driver and the development & testing should be automated through frameworks / tools
  • Monitoring performance and advising any necessary infrastructure changes through capacity planning & sizing exercises
  • Work with various vendors like cloud providers and consultants to deliver the project
  • Define nonfunctional requirements and make sure that the solution adhere to the requirements
  • Define best practices of agile & DevOps while implementing solutions
Some


good to have responsibilities below:


  • Design and implement various components of data pipeline that include data integration, storage, processing and analysis of business data
  • Analyse business requirements and derive conceptual model by identifying entities and the relationship between them. Identify attributes and create logical and physical models
  • Business process modelling, process flow modelling, data flow modelling skills preferable.

Skills and Qualifications:

must have skills sets:


  • Excellent understanding of distributed computing paradigm
  • Should have in depth understanding of coding languages like Java, Javascript and Python.
  • Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
  • Front End/ Backend technologies: SpringBoot, React Js, Angular Js etc.
  • Serverless AWS technologies like Fargate.
  • AWS API technologies like API gateway and its integration with cognito.
  • Containerization like Dockers and Kubernetes.
  • Authentication services like Cognito. Must have knowledge on oauth1, oauth2, SAML authentication.


  • Experience with s

  • Data encryption in AWS.
  • Exposure to multiple AWS components like Lambda, EC2, SQS, SNS, SES, Cloud Watch, RDS etc.
  • Experience in cloud data ecosystem, specifically with AWS. Must have at least the minimum working knowledge or experience with AWS managed databases like RDS, Aurora, Redshift etc
  • Demonstrate strong analytical and problemsolving capability
  • Good understanding of the data ecosystem, both current and future data trends
  • 10+ years of experience in the Solution Architect space with at least few complex software projects as an architect is mandatory
Some


good to have skills below:


  • Good knowledge in data warehouse / data lake technology and business intelligence concepts
  • Good knowledge in Relational, No-SQL, Big Data Databases and should be able to write queries
  • Experience in programming languages like Scala, SQL etc.


  • Data modelling

  • Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage


  • Data integration

  • ETL tools like Glue, Talend and Informatica. Ingestion mechanism like Flume & Kafka


  • Data visualization

  • Tools like Tableau
  • Master data management (MDM)
  • Concepts and expertise in tools like Informatica & Talend MDM


  • Big data

  • Hadoop ecosystem, Distributions like Cloudera / Hortonworks, Pig and HIVE


  • Data processing frameworks

  • Spark & Spark streaming
  • Handson experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required.
  • Knowledge of various data modelling techniques and should be hands on with data modelling tools like Erwin, TOAD, Power Designer, etc are preferable.
Trivandrum Kerala India
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