Responsibilities

· Architect and develop Big Data applications for fortune 100 companies around the globe.

· Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem.

· Implement and configure tools for Hadoop based data lake implementations and Proof of concepts.

· Need to travel to client side when required.

Minimum qualifications

· Solid software engineer with excellent analytical and troubleshooting skills.

· 4+ years of experience building production large scale big data applications.

· Proficiency in a programming language, ideally Scala, Python, or Java.

· Experience with big data technologies like Spark, Hive, or Impala.

· Excellent communication skills with clients and internal engineering teams.

· Eager to learn new technologies.

Preferred qualifications

· Experience with Spark, SQL, Scala, Python, Java, Shell scripting.

· Understanding of Data Integrations and ETL projects.

will be kept confidential according to EEO guidelines.