AZURE DATABRICKS (Hybrid)

Description

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in United States/Canada without the need of employer sponsorship, now or at any time in the future *

Job Title: AZURE DATABRICKS

Job summary

Good knowledge in Azure Databricks and Azure Data Factory skills

Pull data from first and third party data sources stitch and wrangle it for advanced analytics activities. Leverage data best practices and tools by collaborating with analytics translator data scientist and cloud engineer

Experience12 to15 yrs Required Technical Skills- Azure Data Factory Azure Databricks. Domain Skills- Multi Channel. Nice to have Techincal Skills- PySpark Databricks Domain Skills- Technology Microsoft Cortana Analytics

Roles & Responsibilities

Research first and third party data sources to enable access and ensure availability of relevant data sources for those who need it. Provide input to cloud engineer for the design and implementation of data management and/or architecture solutions. Partner with cloud engineer and ML engineer to develop and evolve the concept of data ops. Design implement and deploy data loaders to load data into the Engineering Sandbox. Assist in pulling filtering tagging joining parsing and normalizing data sets for use. Work with the analytics translator data quality analyst and IT to resolve data quality issues. Experience in designing and implementing large scale data loading manipulation processing analysis and exploration solutions. Deep technical expertise with pulling and massaging data understanding of first/third party data. Experience in R Python Modeling Big Data etc. with focus on AI/ML techniques Advanced SQL skills and understanding of data management principles and processes.

Designs and develops repositories for corporate data and data tools. Should be an expert in data warehousing systems and other specialized support systems.

Salary and Other Compensation :

The annual salary for this position is between $130,000 - 150,000 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.

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-AR1 #Ind123

Qualifications

Technical Skills

SNo

Primary Skill

Proficiency Level *

Rqrd./Dsrd.

1

Databricks

PL4

Required

2

PySpark

PL3

Desired

3

Azure Databricks

PL3

Desired

4

Azure Data Factory

PL3

Desired

Domain Skills

SNo

Primary Skill

Proficiency Level *

Rqrd./Dsrd.

1

eCommerce

NA

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.