Big Data Engineer (Spark/Apache)

Company:
Location: Remote

*** Mention DataYoshi when applying ***

Piper Companies is looking for Big Data Engineer for a leading health sciences company. This role is 100% remote.


Responsibilities for the Big Data Engineer:

  • Design and build large data processing systems leveraging the market’s most prominent data ingestion technologies
  • Build streaming data processing systems

Qualifications for the Big Data Engineer:

  • 5+ years working with Big Data technologies like Hadoop, MadReduce, and HDFS for data processing
  • Proficient in object oriented programming – Java/Python
  • Expertise in leverage Apache Spark for stream data and querying tools like Pig/Hive
  • Knowledge of Azure Storage ideal (Blob Storage, Data Lake, Cosmos)
  • Capable of leading/mentoring other data engineers
  • Knowledge of Lambda/Kappa architecture


Compensation/Benefits for Big Data Engineer:

  • $130,000 - $155,000
  • 100% remote
  • Comprehensive benefit package; Medical, Dental, Vision, 401k, and Paid Time Off

Keywords:

big data engineer, big data developer, hadoop developer, hadoop engineer, big data, hadoop, madreduce, hdfs, pig, hive, mongodb, cassandra, dynamodb, nosql, java, python, spark, apache, pyspark, clustering, ETL, azure, data lake, data factory, database, data mining, data lake, stream processing, data warehouse, benefits, vacation, holiday, 401k

*** Mention DataYoshi when applying ***

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