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Senior Pyspark Data Engineer - Spark Streaming, Spark SQL

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New York, NY
Full-time $120k - $150k
Posted 11/13/2019
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Job Title: Senior Python Data Engineer
Job Location: New York/New Jersey --- Occasionally some travel to Charlotte, NC.
Salary: $120k-$150k + Comprehensive Benefits + Commuter Benefits + PTO + 401K
Skills: Python, Spark, Spark SQL, Spark Streaming, Hadoop, Data Engineering

Founded in 1999, and based in beautiful New York City, we are industry-leading information and big data management solutions firm. We are in a period of extreme growth and are in need of a Senior Python Data Engineer. The ideal candidate will have 5 years or more of experience developing Python-based applications and big data applications using Spark SQL and Spark Streaming in Python. The best candidates will be experienced with Hive, Yarn, Kafka, Hbase, MongoDB, and SQL. Additionally, experience generating/parsing XML, JSON documents is a plus.

If this sounds like you, please apply today or e-mail me at kyle.kledzik@cybercoders.com! We are starting the interview process next week and looking to hire multiple candidates as soon as possible!

What You Need for this Position

Must-Have Skills

1.) 5+ years of experience in design, build and deployment of Python-based applications.
2.) 3+ years of experience in build & deployment of Bigdata applications using SparkSQL, SparkStreaming in Python.
3.) Minimum 2 years of experience with HIVE, HBase, Kafka, MongoDB, Yarn.
4.) Must be able to travel on-site to clients regularly.
5.) Bachelor's Degree in Computer Science, Engineering, Statistics, or Econometrics.

Nice to have, but not required

1.) Experience generating XML, JSON datasets and REST API requests/responses.
2.) Experience writing complex SQL queries, exporting and importing large amounts of data using utilities
3.) Ability to write abstracted, reusable code components

What's In It for You

1.) Solid competitive pay $120k-$150k
2.) Comprehensive benefits (100% paid for employee-only plans)
3.) Commuter Benefits
4.) 401k Matching
5.) PTO
6.) Flex Scheduling
7.) Amazing work/life balance!
So, if you are a Senior Python Data Engineer with experience, please apply today!

Applicants must be authorized to work in the U.S.

Additional ways to apply

Preferred Skills

  • Python
  • PySpark
  • SPARK
  • Spark Streaming
  • Spark SQL
  • Hive
  • SQL
  • yarn
  • Kafka
  • hBase

Kyle Kledzik is recruiting for this position and the positions below.
email meEmail me to apply for this position

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CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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Copyright © 1999 - 2019. CyberCoders, Inc. All rights reserved. Terms of Use Privacy Policy
CyberCoders is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.  CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email Benefits@cybercoders.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

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