Big Data Spark Developer


Big Data Spark Developer


  • Candidate would develop Spark applications in AWS utilizing his skills of pyspark or spark/scala

  • Candidate would built ETL pipelines using Apache Spark.

  • Candidate would need to do development using application development by lifecycles, & continuous integration/deployment practices.

  • Working to integrate open source components into data-analytic solutions

  • Working with vendors to enhance tool capabilities to meet enterprise needs

  • Willingness to continuously learn & share learnings with others


  • Candidate should have Hands on experience with in Spark with either Python or Scala

  • Strong knowledge of apache Spark and hands on development experience.

  • Proficient in at least one programming language (Python, Scala)

  • Experience in ETL / Data application development and version control systems such as Git.

  • Knowledge of application development lifecycles, & continuous integration/deployment practices.

  • 2 - 10 years experience delivering and operating large scale, highly visible distributed systems.

  • Knowledge of database concepts and SQL is preferred.



Python/Scala Programming




SQL– Simple to Complex SQL analysis


Bachelor’s degree in Computer Science or a related discipline, at least eight, typically ten or more years of solid, diverse work experience in IT with a minimum of eight years’ experience application program development, or the equivalent in education and work experience.

How to Apply:

Apply online at

Visit Site to Apply

Location: Lafayette, LA
Date Posted: June 03, 2021
Application Deadline: July 05, 2021