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Please share the updated profile to [email protected]
Job Description: Scala Spark Developer with JAVA
Final round Face to Face
Location – Broadway, NY (Onsite – Office Address –Broadway New York, NY 10036)
Mandatory Skills:
Big Data, Scala, Spark, Core Java
Onsite Requirement – Y
Number of days onsite – 3 days
Job Role – Scala Spark Developer
Experience:5+ years UST is a leading provider of platforms; digital innovation; artificial Intelligence and end-to-end IT services and solutions for Global 1000 companies.
We are transforming corporations through deep domain expertise; knowledge-based Client platforms; as well as profound anthropological efforts to understand the end customer and design products and interactions that create delight. We are deeply committed to developing a comprehensive understanding of our client’s problems and developing platforms to address them
We are seeking a highly skilled and motivated Spark Scala Developer to join our dynamic team. As a Spark Scala Developer, you will play a critical role in the design, development, deployment and optimization of data processing application.
Key Responsibilities:
• Develop and maintain data processing applications using Spark and Scala.
Collaborate with cross-functional teams to understand data requirements and design efficient solutions.
• Implement test-driven deployment practices to enhance the reliability of application.
• Deploy artifacts from lower to higher environment ensuring smooth transition
• Troubleshoot and debug Spark performance issues to ensure optimal data processing.
• Work in an agile environment, contributing to sprint planning, development and delivering high quality solutions on time
• Provide essential support for production batches, addressing issues and providing fix to meet critical business needs Skills/Competencies:
• Strong knowledge of Scala programming language
• Excellent problem-solving and analytical skills.
• Proficiency in Spark, including the development and optimization of Spark applications.
• Ability to troubleshoot and debug performance issues in Spark.
• Understanding of design patterns and data structure for efficient data processing
• Familiarity with database concepts and SQL * Java and Snowflake (Good to have).
• Experience with test-driven deployment practices (Good to have).
• Familiarity with Python (Good to have).
• Knowledge of Databricks (Good to have).
- • Understanding of DevOps practices (Good to have).
Regards
[email protected]
Siva Kishore | LinkedIn
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