Data Engineer with Spring Boot, Spark and ETL

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Spark
Spring Boot
ETL

Job Details

Designation: Data Engineer with Spring Boot, Spark and ETL
Location: Irving, TX/ Minneapolis, MN
Duration: Long Term.
Responsibilities:
  • Minimum of 7 years of experience in a Data Engineer role.
  • Experience building and optimising big data' data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable big data' data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.
  • Experience with Kafka, Talend, Stream sets.
  • Nice to have experience with big data tools: Hadoop, Spark etc.
  • Nice to have experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
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