Senior Big Data Developer for High-Performance Projects

11 hours ago


Anywhere in IndiaMultiple Locations US Technology International Pvt Ltd Full time

About the Role

We are seeking a highly skilled Senior Big Data Developer to join our team in Hyderabad. As a key member of our data engineering team, you will be responsible for designing, developing, and deploying high-performance big data solutions using Hadoop, Spark, and related technologies.

About You

To be successful in this role, you should have a strong background in big data processing, including experience with Hadoop, Spark, and No-SQL databases. You should also have hands-on experience with programming languages such as Python and Scala, as well as a good understanding of cloud computing platforms like AWS.

Key Responsibilities

  • Design and develop high-performance big data pipelines using Hadoop and Spark
  • Develop and deploy scalable data processing applications on AWS
  • Work closely with cross-functional teams to integrate big data solutions into larger projects
  • Collaborate with data scientists to develop predictive models and perform data analysis
  • Maintain and improve existing big data infrastructure to ensure optimal performance and reliability

Requirements

  • Minimum 5-6 years of experience in big data processing with Hadoop, Spark, and No-SQL databases
  • Hands-on experience with programming languages such as Python and Scala
  • Strong knowledge of cloud computing platforms like AWS
  • Experience with Agile development methodologies and version control systems like Git
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Master's degree in Computer Science or related field
  • Certification in big data processing or cloud computing
  • Experience with machine learning and predictive modeling
  • Knowledge of DevOps practices and tools

Compensation and Benefits

We offer a competitive salary of ₹30,00,000 - ₹45,00,000 per annum, depending on experience, along with benefits such as health insurance, retirement plan, and paid time off.



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