Pyspark Developer(Remote)

Full Time
Hartford, CT 06101
Posted
Job description
ROLE: Pyspark Data Engineer(Remote)

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 *
This is a remote position open to any qualified applicant in the United States/Canada

Qualification:
Bachelors in science , engineering or equivalent

Salary and Other Compensation:
The annual salary for this position is between $[95,000– 130,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, 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.

1.Job title: Pyspark Data Engineer(Remote)

2.Job summary: Should have strong knowledge of large scale search applications and building high volume data pipelines.

Should have experience in building data transformation and processing solutions.

Should have knowledge in Hadoop architecture HDFS commands and experience designing & optimizing queries against data in the HDFS environment.

Should have the ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.

Should have experience with

3.Experience: 8to12yrs

4.Required Skills

Technical Skills- Apache Hadoop Apache Spark Hive

5.Nice to have skills

Techincal Skills- Unix Shell Scripting Python PySpark

6.Roles & Responsibilities

Develops large scale data structures pipelines and efficient ETL (extract/load/transform) workflows to organize collect and standardize data that helps generate insights and addresses reporting needs.

Collaborates with other data teams to transform data and integrate algorithms and models into automated processes.

Uses knowledge in Hadoop architecture HDFS commands and experience designing & optimizing queries to build data pipelines.

Builds data marts and data models to support Data Science and other internal customers.

Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions.

Experiments with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use cases
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : May 04 2023

About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

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