Description
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
Practice – AIA – Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Responsibilities:
- Strong technical & hands on resources to make initial strong footprint, who can understand the system.
- Modernize and enhance solutions Azure migration.
- Explore, create ideas & come-up with solutions / recommendations.
- Ability to understand Project & System related things
- Architect must plan & drive meetings, provide suggestions, solutions & recommendations.
- Collaborate with other engineers on the team to elevate technology and consistently apply best
Job description:
• Having good experience in designing and delivering data engineering solutions (data pipeline development data process orchestration etc.)
• -Highly proficient in Airflow Spark/Scala CICD Kubernetes SQL Unix Shell scripting.
• -In-depth knowledge of Azure Cloud services
• -Experience handling large and complex sets of data from various sources and databases
• -Solid grasp of database engineering and design principles
• Familiarity with CI/CD methods desired
• -Candidates should be flexible / willing
Experience:13to16yrs
Technical Skills- Apache Spark Azure Data Lake Store Apache Airflow
Roles & Responsibilities
• Designing modifying and testing technical architecture
• Provide supervision and guidance to development teams
• Continually research the current and emerging technologies and propose changes where needed
• Inform various stakeholders about any issues with the current technical solutions being implemented
• Assess the business impact that certain technical choices have
• Provide updates to stakeholders on product development processes costs and budgets
• Plan and drive meetings provide suggestions solutions & recommendations
Salary and Other Compensation :
The annual salary for this position is between $147k depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
# L1-AV1# CB#Ind123
# Azure Cloud #Azure Data Lake Store# Kubernetes # Cloud Architect
Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Apache Airflow PL1 Desired 2 Azure Data Lake Store PL1 Desired 3 Kubernetes PL1 Desired 4 Apache Spark PL1 Required 5 Scala PL1 Desired
* Proficiency Legends
Proficiency Level Generic Reference PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.