Software Engineer

Mphasis
Charlotte, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Bash
Big Data
Unix
Code Review
Continuous Integration
Data Integrity
Database Theory
Gradle
Hadoop
Hive
Maven
Software Engineering
SQL Databases
Systems Integration
Data Processing
Spark
GIT
Kafka
Build Tools
Software Version Control

Job description

  • Design, develop, and maintain scalable software applications using Java/Spark or Scala/Spark.
  • Implement and manage CI/CD processes to ensure smooth deployment and integration of software solutions.
  • Utilize version control tools like GIT for code management and collaboration.
  • Work with the Hadoop ecosystem and big data technologies, including Hive, Kafka, S3, and Iceberg.
  • Perform Spark performance tuning and optimization to enhance application efficiency.
  • Develop and execute SQL queries for data manipulation and retrieval.
  • Engage in data modeling and normalization to ensure data integrity and accessibility.
  • Write and maintain UNIX bash scripts for automation and process improvement.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Participate in code reviews and provide constructive feedback to peers.
  • Stay updated with emerging technologies and industry trends to continuously improve skills and knowledge.

Requirements

We are seeking a highly skilled Senior Software Engineer with a strong background in software development, particularly in Java/Spark or Scala/Spark. The ideal candidate will have hands-on experience with big data technologies and a solid understanding of database concepts. This role requires a proactive individual who can contribute to the development of innovative solutions in a fast-paced environment., * Strong proficiency in Java/Spark or Scala/Spark.

  • Extensive experience with SparkSQL.
  • Proficient in using version control tools like GIT.
  • Solid understanding of CI/CD processes and build tools such as Gradle and Maven.
  • Hands-on experience with the Hadoop ecosystem and big data technologies.
  • Strong knowledge of database concepts and SQL.
  • Experience with UNIX bash scripting.

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