Global Force USA

Global Force USA

Data Scientist - c2c - Candidate must be local to Austin TX (Posted by Sid)

Austin, Texas, USA · third party, contract

Sponsorship not specifiedDetected 63 days ago
PythonJavaGoC++ScalaData StructuresSQLSnowflakeAWSKafkaSparkData EngineeringData ScienceCybersecurityTest AutomationLoad BalancingHadoop

About the role

  • Resource with strong skills in Data architecture and expertise in dimensional data modelling, preferably in a bigdata or an enterprise data warehouse environment. Experience with Informatica Power Exchange for CDC based replication or similar tool is a plus. Expertise in development of data ingestion to Hadoop based data lake (HDFS, Hive) and S3 storage,
  • complex data transformations, and data security. Programming expertise in a major programming/scripting language including but not limited to Java, C++, Scala, python, Go. Hands on delivery capability working in a team across the full lifecycle Data Source Analysis, Design, Development, Testing and Implementation. This includes providing input into

Nice to have

  • Resource with strong skills in Data architecture and expertise in dimensional data modelling, preferably in a bigdata or an enterprise data warehouse environment.
  • Experience with Informatica Power Exchange for CDC based replication or similar tool is a plus.
  • Expertise in development of data ingestion to Hadoop based data lake (HDFS, Hive) and S3 storage, complex data transformations, and data security.
  • Programming expertise in a major programming/scripting language including but not limited to Java, C++, Scala, python, Go.
  • Proficient in Hadoop ecosystem components such as Hive, Yarn, Knox, Ranger, Sqoop, Oozie, HiveQL, Spark, SQL/data access.
  • Experience in ETL development using Informatica BDM, Kafka, or comparable software.
  • Understanding and skills in data governance, security architecture, load balancing and troubleshooting.
  • Well-versed and deep development experience in Big Data Platform clusters on AWS, HDFS storage optimization, Data Lake/Data Warehouse foundation capabilities.
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