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On-site

Job Type

Contractual

Job Description

Job Summary:

Client is looking for PySpark Developer and this is Hybrid position in Hyderabad.


Responsibilities:

  • Understands the full picture and helps with operations with monitoring, dashboards etc.
  • Work with architect on design
  • Constantly keeps an eye on cost and performance of the system
  • Work with BA on the integration requirements
  • Ability to trouble shoot performance issue and other functional issues
  • Attention to details and documents the key decisions made
  • Able to mentor or guide junior developers and do code reviews
  • Ability to handle fast-paced projects and willing to look into production issues
  • Document and maintain project artifacts.
  • Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
  • Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.
  • Safeguard the company’s assets.
  • Adhere to the company’s compliance program.
  • Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
  • Maintain focus on customer service, efficiency, quality, and growth.
  • Collaborating with additional team members


Experience:

  • Must have at least 5 years of IT development experience.
  • Must have strong analytical and problem-solving skills.
  • Designing, developing, and maintaining large-scale data processing applications using Apache Spark and Python to create scalable and efficient data pipelines for big data environments.
  • Building ETL processes, optimizing data workflows, collaborating with data scientists and engineers, ensuring data quality, and implementing solutions for big data analytics and business intelligence.
  • Must have strong SQL and backend experience and working on data driven projects.
  • Must have following experience:
  • Python/PySpark
  • SQL
  • Databricks
  • SCALA
  • SQL
  • ETL
  • Spark/Spark Streaming
  • Big Data Tool Set
  • Linux
  • Kafka

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