Distinguished Engineer Data Science
Distinguished Engineer Data Science
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Salary Not Disclosed
1 Vacancy
Job Description
REQUIREMENTS:
- Experience : 18 Years
- Strong Cloud Architecture experience with MSA and TOGAF certified (preferred)
- Extensive experience in enterprise architecture and cloud architecture design.
- Proven expertise in data science solutioning and machine learning solution design.
- Strong understanding of cloud platforms such as AWS Azure or Google Cloud.
- Proficiency in programming languages such as Python Java or C#.
- Experience with machine learning frameworks and tools.
- Excellent problemsolving skills and the ability to think strategically.
- Strong communication and interpersonal skills with the ability to work effectively with crossfunctional teams.
- Ability to stay updated with the latest trends and advancements in technology.
- Should have a good track record of architecting designing and delivering complex cloudbased solutions along with capabilities to design architecture for complex multitenant distributed cloud implementations cloud migrations and hybrid cloud implementations with an agile mindset and strong communication skills to collaborate on sales/presales pitches
- Hands on experience in designing and developing technology solutions using a variety of platforms languages and tools with at least 5 years of software architecture experience.
- Ability to think breakthroughs by leveraging new age technologies and a deep understanding of the clients business and the industry they operate in.
- Ability to lead by example by picking up coding of complex functionalities when required.
- Strong understanding of technology and the ability to deep dive into a technology problem.
- Ability to influence key client stakeholders on their technology and operations strategy.
- Vast experience in owning delivery of complex technology solutions for global clients.
- Ability to multitask and own multiple technology tracks simultaneously in a globally distributed delivery setup.
- Experience in creating cutting edge technology solution by collaborating with other world class technologists
- Balanced approach that aligns technologybased solutions with customer needs.
- Visible thought leadership through technology blogs whitepapers presentations etc.
- Fluent verbal and written language skills and ability to convey a message in a simple and structured manner customized to the audience and to the mode of communication.
RESPONSIBILITIES:
- Preferred experience of working in all mobile web and backend solutions.
- Knowledge of Enterprise Architecture Frameworks like TOGAF Zachman.
- Excellent Solution designing skills identifying the proper technology stack.
- Excellent understanding of Agile practices using Lean Scrum and Kanban.
- Excellent knowledge of SOA and Microservices architecture pattern encapsulating transaction scenarios.
- Good ProblemSolving Skills and ability to solve problems using innovative approach.
- Ability to create solution design encompassing functional Logical Component Data Integration Security and Deployment aspects.
- Have experience in working on all aspects of product lifecycle from Design development deployment DevOps and continuous integration.
- Defining business requirements as per discussion with various stakeholders.
- Proficiency on design and architecture on Multiple domains and technology stacks
- Ability to work along with teams for technical insights and with customer on technical consulting and solutions.
- Excellent communication skills Proficient and hands on in at least on one technology and able to adapt in providing solutions in different tech stacks.
- Clientcentric and a team player Significant exposure in responding to RFPs.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
