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AWS Data Engineer (Only on W2)

FervorlyIrvine, CA🇺🇸United States

Why this role stands out

This hybrid AWS Data Engineer role offers significant growth potential and the chance to work with cutting-edge cloud technologies, empowering you to build robust data platforms. You'll thrive here if you have a strong background in AWS data engineering and a passion for optimizing large-scale datasets. Apply today to leverage your expertise and contribute to innovative projects in a flexible work environment.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationIrvine, CA, United States
MySQLRubySQLScalaApache SparkAWSApacheHadoopHiveKafkaPigPythonRedshift

Job description

Desired Experience

  • 6–10 years of experience in Data Engineering.
  • Bachelor’s degree in computer science, computer engineering, or a related technical field.
  • Experience building cloud-native data platforms on AWS. 2+ years of experience with AWS cloud or other cloud Big Data computing design, provisioning, and tuning.
  • Related AWS certification, preferred.
  • Experience handling large-scale structured and semi-structured datasets.
  • Strong understanding of distributed data processing and performance optimization.
  • Experience working in enterprise production environments with high availability requirements.
  • Expertise in database concepts, object and data modeling techniques and design principles.
  • Expertise in database architectures, software, and facilities
  • Expertise with programming languages - Python (required), Scala, Ruby, R Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
  • Expertise with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
  • Expertise with stream-processing systems: Kinesis, Kafka, MQTT
  • Expertise with relational NoSQL databases including DyanamoDB
  • Expertise in writing JSON, XML, YAML and other data definition schemas
  • Excellent verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.
  • Ability to work on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry.
  • Ability to work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.

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