Big Data Engineer (F2F interview)

  • Posted 21 days ago | Updated 21 days ago

Overview

On Site
$50 - $60
Accepts corp to corp applications
Contract - Independent
Contract - 12 month(s)
No Travel Required

Skills

Kafka
Hadoop
ETL
TDD

Job Details

Big Data Engineer (Experience in designing & developing a big data solution using Spark, Scala, AWS Glue, Lambda is a must)

Location: Boston, MA (locals only)

F2F interview.

No h1 B

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Responsibilities:

  • Design and implement production big data environments using modern technologies.
  • Build, validate, and optimize large-scale, big data solutions in heterogeneous data environments.
  • Develop and manage ETLs in batch (Spark and Scala), and streaming (Apache Flink).

To be successful in the role you must have

  • Strong experience working with Scala, Spark, software design patterns, and TDD.
  • Experience working with big data - Spark is a must - Hadoop, Hive, and/or Kafka would be a plus.
  • Experience with different database structures, including SQL (Postgres, MySQL), and NOSQL (DynamoDB, DocumentDB, Redis, Elasticsearch).
  • Experience and expertise across data integration and data management with high data volumes.
  • Experience with Cloud ecosystems, AWS ecosystem (EMR, EC2, IAM, GLUE, ATHENA, S3, CloudFormation, LakeFormation, Redshift, DynamoDB, RDS, ECS & ECR) would be a great plus!
  • Experience working in agile continuous integration/DevOps paradigm and tool set (Git, Jenkins, Sonar, Nexus, Jira, and Splunk).
  • Bachelor's Degree in Computer Science, Information Systems, Mathematics, or other STEM, and related fields, or equivalent work experience.
  • Professional working proficiency in English.

Nice to have

  • Experience with data warehousing, apache iceberg, and visualisation tools.
  • Experience with NRT applications: Apache Flink, spark streaming.
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