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Data Engineer
Quest Global
linkedin
Pune Division, Maharashtra, India
0-2 years
Not Disclosed
Full time
04 May 2026
Top Skills:
ArchitectureAwsCi/cdCloudCloudwatchEmrMongodbNosqlS3ScalaSnsSpark

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Job Description iconJob Description
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Job Requirements

  • Strong experience in programming languages and latest technologies - Spark, Scala.
  • AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch etc.
  • Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
  • Fluent in NoSQL & relational based systems like MongoDB
  • Fluent in complex, distributed and massively parallel systems.
  • Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
  • Proficient in deploying artifacts using CI/CD
  • Designing data systems/solutions to manage complex data.
  • Strong understanding of database technologies and management systems.
  • Strong understanding of cloud-based systems/services.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Excellent written and verbal communication skills; mastery in English and local language.

Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

Work Experience

  • Strong experience in programming languages and latest technologies - Spark, Scala.
  • AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch etc.
  • Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
  • Fluent in NoSQL & relational based systems like MongoDB
  • Fluent in complex, distributed and massively parallel systems.
  • Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
  • Proficient in deploying artifacts using CI/CD
  • Designing data systems/solutions to manage complex data.
  • Strong understanding of database technologies and management systems.
  • Strong understanding of cloud-based systems/services.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Excellent written and verbal communication skills; mastery in English and local language.

Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.