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Spark Scala

Cognizant

Software and Technology Jobs

Spark Scala

full-timePosted: Dec 7, 2025

Job Description

Skill: Spark Scala

Experience: 4 to 9 Years

Location : AIA – Pune

  • Minimum 2 years of experience in application development.
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes.
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant 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 (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation 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.

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.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Required Qualifications

  • Minimum 2 years of experience in application development
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL

Preferred Qualifications

  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance

Skills Required

  • Apache Spark
  • Scala
  • Spark SQL
  • Cloudera Hadoop (CDH)
  • HDFS
  • Hive
  • Impala
  • HBase
  • Kafka
  • Sqoop
  • ETL pipelines
  • SQL
  • NoSQL
  • PostgreSQL

Additional Requirements

  • Experience: 4 to 9 Years
  • Location: AIA – Pune

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Apache Sparkintermediate
  • Scalaintermediate
  • Spark SQLintermediate
  • Cloudera Hadoop (CDH)intermediate
  • HDFSintermediate
  • Hiveintermediate
  • Impalaintermediate
  • HBaseintermediate
  • Kafkaintermediate
  • Sqoopintermediate
  • ETL pipelinesintermediate
  • SQLintermediate
  • NoSQLintermediate
  • PostgreSQLintermediate

Required Qualifications

  • Minimum 2 years of experience in application development (experience)
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing (experience)
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop (experience)
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data (experience)
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL (experience)

Preferred Qualifications

  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi (experience)
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes (experience)
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance (experience)

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Cognizant logo

Spark Scala

Cognizant

Software and Technology Jobs

Spark Scala

full-timePosted: Dec 7, 2025

Job Description

Skill: Spark Scala

Experience: 4 to 9 Years

Location : AIA – Pune

  • Minimum 2 years of experience in application development.
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes.
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant 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 (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation 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.

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.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Required Qualifications

  • Minimum 2 years of experience in application development
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL

Preferred Qualifications

  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance

Skills Required

  • Apache Spark
  • Scala
  • Spark SQL
  • Cloudera Hadoop (CDH)
  • HDFS
  • Hive
  • Impala
  • HBase
  • Kafka
  • Sqoop
  • ETL pipelines
  • SQL
  • NoSQL
  • PostgreSQL

Additional Requirements

  • Experience: 4 to 9 Years
  • Location: AIA – Pune

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Apache Sparkintermediate
  • Scalaintermediate
  • Spark SQLintermediate
  • Cloudera Hadoop (CDH)intermediate
  • HDFSintermediate
  • Hiveintermediate
  • Impalaintermediate
  • HBaseintermediate
  • Kafkaintermediate
  • Sqoopintermediate
  • ETL pipelinesintermediate
  • SQLintermediate
  • NoSQLintermediate
  • PostgreSQLintermediate

Required Qualifications

  • Minimum 2 years of experience in application development (experience)
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing (experience)
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop (experience)
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data (experience)
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL (experience)

Preferred Qualifications

  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi (experience)
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes (experience)
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance (experience)

Target Your Resume for "Spark Scala" , Cognizant

Get personalized recommendations to optimize your resume specifically for Spark Scala. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Spark Scala" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for Spark Scala @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.