Miracle Software Systems | Data Engineer | Arizona | United States | BigDataKB.com | 20 Oct 2022

Job Location: Arizona

USA-Arizona
Exp 5 – 10 Years

Key Skills

Hadoop

Spark

SQL

Python

BigQuery

Responsibilities

  • The candidate should have minimum 3+ years of working experience as a Data Engineer
  • Ability to understand data frameworks that collect, manage, transform, and store data to derive business insights
  • Must have 2+Data Engineer years of experience within the Big Data ecosystem(Hadoop, SqoopHive, Spark, Pig, etc.)
  • Must have 2+ years of strong experience with SQL and Python(Data Engineering focused)
  • Preferred to have experience with Google Cloud data services such as BigQuery, Dataflow, Dataproc, etc.
  • Any prior experience in ETL tools such as DataStage, Informatica, DBT, Talend, etc., will be an added advantage
  • Should have SQL skills that include performance-tuning, clustering, indexing, modeling, database optimizing, etc.
  • Ability to handle huge datasets and perform quick data analysis to extract insights from raw data for sharing with clients
  • Should be able to code (Python preferred) for developing new applications (cloud functions, dataflow, etc.) and also a lot of existing workloads needs to be updated frequently
  • Advanced knowledge in data visualization tools with a grasp of effective data modeling and visualization practices
  • Domain-specific knowledge infrastructure, VMWare space (VMs, Datastore, and Hosting servers)
  • Good team player, quick learner, capable to work in high-demand work environments, and ready to accept and take on challenges
  • Ability to quickly adapt to new tools and evolving technologies
  • Good communication skills with the ability to work in large teams and interact with technical teams




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