Senior Data Engineer

Description
Senior Data Engineer
Location: Pennsylvania, Philadelphia (Hybrid/ Onsite)
* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future*
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 Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.
Qualification:

• Experience building data pipelines
• Experience with Big Data and DevOps technologies
• Any exposure to cloud computing (GCP, Azure, AWS)

Responsibility:

• Data engineering activities in CCP and on prem
• Build generic ELT frameworks
• Experience in designing frameworks, platforms and improving the existing design
• P erform POCs and assessments on new tools and technologies
• Design and Develop generic framework which will be used by platforms
• Design and develop data pipelines
• Work with stakeholder, understand the business goal and help in achieving the same
• Understand Comcast ecosystem to recommend design ideas

Must Have Skills

• Databricks
• Python
• Spark/PySpark

Good To Have Skills

• Kubernetes
• Docker
• Snowflake

Salary and Other Compensation: .
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.
Benefits: 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.
#LI-IR1 #CB #Ind123
Qualifications
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Databricks
PL4
Required
2
Kubernetes
PL4
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.