Big Data Developer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

java
python

Job Details

Role : Big Data Developer (10+ exp needed)

Location : Austin, Texas

Duration: 12 Months

Qualifications :

  • Required SkillsShould be able to communicate effectively with business and other stakeholders bull Demonstrate ownership.Hands-on experience designing and implementing data applications in production using Java/ Python/ R and etc on big data platform
  • Experience with related/complementary open source software platforms and languages such as Java, Linux, Apache, Open Street Map, D3.js and etc
  • Strong analytical capabilities, creativity and critical thinking required
  • Required Experience in SCMs like GIT and tools like JIRA
  • Experience in writing Spark ETL jobs
  • Experience using software version control tools (Git, Jenkins, Apache Subversion)
  • Must have proven records of papers published in wireless analytics space in IEEE or other effective journals
  • Must be proficient in the use of different databases such as Spark, Hadoop, Hive, MySQL, TeraData, MS SQL Server, Oracle and etc
  • Must be proficient in the programming languages of Java, Java Scripts, Python, R, HTML and etc
  • Education RequirementsBachelor s Degree in Computer Science, Computer Engineering or a closely related field

Responsibilities

  • Play a key role in building an industry-leading Customer Information Analytics Platform.
  • Demonstrate passion for Big Data and highly scalable data platforms.
  • Proactively learn new skills and communicate ideas clearly and articulately.
  • Understand and contribute to the architecture of distributed systems.
  • Collaborate with partners to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
  • Participate actively in systems analysis, design, and architecture fundamentals.
  • Perform Unit Testing and other Software Development Life Cycle (SDLC) activities.
  • Communicate effectively with business and other stakeholders.
  • Demonstrate ownership and accountability in all assigned tasks.
  • Design and implement data applications in production using Java, Python, R, etc., on Big Data platforms.
  • Utilize open-source software platforms and languages such as Java, Linux, Apache, OpenStreetMap, D3.js, and others.
  • Apply strong analytical capabilities, creativity, and critical thinking to solve complex problems.
  • Write Spark ETL jobs and manage large data warehousing environments.
  • Use software version control tools like Git, Jenkins, and Apache Subversion.
  • Work with Kafka, Flume, and AWS tool stack (e.g., Redshift, Kinesis).
  • Apply data modeling concepts and principles effectively.
  • Manage different databases such as Spark, Hadoop, Hive, MySQL, Teradata, MS SQL Server, Oracle, etc.
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