Description
• The Big Data Developer / Data Engineer must have prior hands-on experience delivering/leading successful data warehousing projects in a big data environment. on.
• Cloudera Hadoop HDFS or Databricks, Spark, Scala, Hive, Postgres, RedShift, SQL
• Python / Unix Scripting
• Any one of the scheduling Tools (like Oozie / Stonebranch)
• Amazon Web Services or Microsoft Azure
• Certification Hadoop / Cloudera / Databricks
Experience Required:
• More than 3 years of experience working in big data / Hadoop environment using Spark/Scala, Hive and SQL.
• Excellent understanding of data warehousing concepts.
• Candidate should be able to clearly communicate fundamental concepts during the interview and demonstrate previous experience in all aspects.
• Experience in tuning queries/processes and performance management tools
• Experience in scheduling tools like Oozie, Stonebranch
• Strong data modeling skills (normalized and multidimensional)
• Strong business and communication skills
• Knowledge of Health Care Insurance Payer Data Warehousing Preferred
