Spark Scala Python

5 years

4 - 7 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Summary

Join our dynamic team as a Developer where you will leverage your expertise in Spark Scala Python and SparkSQL to drive innovative solutions. With a hybrid work model and day shifts you will collaborate with cross-functional teams to enhance data processing capabilities. Your contributions will directly impact our companys growth and societal advancements through data-driven insights.


Responsibilities

  • Develop and implement scalable data processing solutions using Spark and Scala to enhance data analytics capabilities.
  • Collaborate with data scientists and analysts to optimize data workflows and ensure efficient data processing.
  • Design and maintain data pipelines using SparkSQL and Python to support business intelligence initiatives.
  • Troubleshoot and resolve technical issues related to Spark applications to ensure seamless data operations.
  • Conduct code reviews and provide feedback to team members to maintain high-quality code standards.
  • Participate in agile development processes to deliver projects on time and within scope.
  • Analyze complex data sets to identify trends and insights that drive business decisions.
  • Document technical specifications and processes to ensure knowledge sharing and continuity.
  • Stay updated with the latest industry trends and technologies to continuously improve data solutions.
  • Work closely with stakeholders to understand requirements and translate them into technical solutions.
  • Ensure data security and compliance with company policies and industry regulations.
  • Provide technical support and guidance to junior developers to foster a collaborative team environment.
  • Contribute to the companys mission by delivering data-driven solutions that positively impact society.


Qualifications

  • Possess a strong background in Spark Scala Python and SparkSQL with a minimum of 5 years of experience.
  • Demonstrate proficiency in designing and implementing data pipelines and workflows.
  • Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues.
  • Show experience in working within agile development environments and delivering projects on time.
  • Have a keen understanding of data security and compliance requirements.
  • Display strong communication skills to effectively collaborate with cross-functional teams.
  • Be committed to continuous learning and staying updated with industry advancements.


Certifications Required

Certified Spark Developer Python for Data Science Certification

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Cognizant

IT Services and IT Consulting

Teaneck New Jersey

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