Senior Tableau Engineer

tableau server, tableau desktop, machine learning, aws cloud infrastructure, hadoop, mapreduce, hdfs, hbase, zookeeper, hive, pig, sqoop, oozie, storm, and flume, spark, python, scala, ruby on rails and bash, nosql
Contract W2, 12 Months
Depends on Experience
Work from home available Travel not required

Job Description

InfoTech Spectrum delivers comprehensive fully integrated creative IT solutions ranging from IT consulting services to advanced technology deployment and product development.

Title: Senior Tableau Engineer

Job Description:

  • Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues
  • Closely partner with product team on time to value discussions and implementation considerations
  • Provide technical guidance, communicate technical decisions, and mentor developers
  • Partner with Product Engineering and Technology leadership to ensure a consistent technology strategy across teams and products
  • Lead multiple software development initiatives at any given time, serving as an expert for the escalation of complex application design and development issues.
  • Perform application design and code reviews on machine learning projects
  • Working knowledge of production data pipelines supporting modeling techniques and model interchange in production settings
  • Front line support for Tableau related Tickets
  • Triage Tableau tickets and assign to appropriate team members
  • Resolve highly complex technical issues associated with Server and Desktop
  • Document, mentor, and train others in support procedures for technical triage and problem solving
  • Perform Tableau upgrades and patches

Qualifications:

  • Experience in overall Software Development
  • Expert in Tableau Server, Tableau Desktop & General Trouble shooting skills
  • Must have strong knowledge in Machine Learning, and Desktop Components, ML, S3, Cloudwatch, IAM
  • Must have 5+ years of AWS Cloud Infrastructure using AWS best practices
  • Big Data Ecosystems: Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Oozie, Storm, and Flume.
  • Spark Streaming Technologies: Spark
  • Scripting Languages: Python, Scala, Ruby on Rails and Bash.
  • Programming Languages: Java, SQL, Java Scripting, HTML5, CSS3
  • Databases: Data warehouse, RDBMS, NoSQL, Oracle.

Dice Id : 10120349
Position Id : 6190225
Originally Posted : 2 months ago
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