Verified Job
Customer Support / TeleCaller
Solutions Architect
Customer Support / TeleCaller
#284907
Remote / WFH
Job Description
Experience in technical leadership in architecture, design, and engineering in the modernization of legacy Data Ingestion, ETL, and databases to new technologies in the Public Cloud (Azure/AWS) and Big Data Space.
• Strong understanding across any of the Cloud (AWS/Azure) and its components (compute, storage, data, serverless compute,) to deliver end-to-end infrastructure architecture solutioning for the clients
· Experience in defining technical direction and roadmap for Cloud migrations and managing the implementation and big data technical solutions.
· Experience designing, developing, or maintaining a big data application.
· Produce solutions that are models of performance, scalability, and extensibility.
· Can create a proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
· At least 5 years of experience in Data warehousing and designing solutions on Modern Data Lake.
· At least 5 years of Experience with major Big Data technologies and frameworks including but not limited to Hadoop, Apache Spark, Hive, Kafka, Apache Sqoop, ZooKeeper, HBase.
· Proficiency in any of the programming languages: Scala, Python, or Java
· Hands on Experience with Spark (Python/Scala), SQL.
· Practical expertise in performance tuning and optimization
· Experience work on Production grade projects with Terabyte to Petabyte size data sets.
· Experience reviewing and implementing Agile standards and practices.
Roles & Responsibilities:
· Total Experience: 10+ years
· Propose solution architectures and manage the deployment of cloud based big data and analytics solutions, according to complex customer requirements and implementation best practices.
· Review, validate, and assess the client's requirements, and product specifications/features.
· Create the required artifacts (design document, diagrams, STTM, HLD, LLD, etc.)
· Architect, design, and implement data solutions in the Public Cloud (Azure/AWS) and Big Data Space
· Work closely with the customer and internal teams to gather business and technical requirements.
· Develop a point of view, capture, prioritize and analyze technical (functional and non-functional) requirements
· Apply Architectural Methods, Techniques and Best Practices.
· Educate, mentor and coach teams in applying architectural techniques
· Successfully lead Customer’s migration and transformation projects
• Strong understanding across any of the Cloud (AWS/Azure) and its components (compute, storage, data, serverless compute,) to deliver end-to-end infrastructure architecture solutioning for the clients
· Experience in defining technical direction and roadmap for Cloud migrations and managing the implementation and big data technical solutions.
· Experience designing, developing, or maintaining a big data application.
· Produce solutions that are models of performance, scalability, and extensibility.
· Can create a proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
· At least 5 years of experience in Data warehousing and designing solutions on Modern Data Lake.
· At least 5 years of Experience with major Big Data technologies and frameworks including but not limited to Hadoop, Apache Spark, Hive, Kafka, Apache Sqoop, ZooKeeper, HBase.
· Proficiency in any of the programming languages: Scala, Python, or Java
· Hands on Experience with Spark (Python/Scala), SQL.
· Practical expertise in performance tuning and optimization
· Experience work on Production grade projects with Terabyte to Petabyte size data sets.
· Experience reviewing and implementing Agile standards and practices.
Roles & Responsibilities:
· Total Experience: 10+ years
· Propose solution architectures and manage the deployment of cloud based big data and analytics solutions, according to complex customer requirements and implementation best practices.
· Review, validate, and assess the client's requirements, and product specifications/features.
· Create the required artifacts (design document, diagrams, STTM, HLD, LLD, etc.)
· Architect, design, and implement data solutions in the Public Cloud (Azure/AWS) and Big Data Space
· Work closely with the customer and internal teams to gather business and technical requirements.
· Develop a point of view, capture, prioritize and analyze technical (functional and non-functional) requirements
· Apply Architectural Methods, Techniques and Best Practices.
· Educate, mentor and coach teams in applying architectural techniques
· Successfully lead Customer’s migration and transformation projects
