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Hadoop Feature Lead

Addison, Texas;

Job Description:

Position Summary

Good knowledge of database structures, theories, principles, and practices. Experience in Java and Knowledge in Hadoop (HDFS/HBASE /SPARKSQL and SPARK/Scala with or prior experience in MapReduce) concepts and ability to write Spark/Scala Dataset, Dataframe & SQL jobs. Proven understanding with Hadoop, Spark, Hive, and Hbase and ability to write Shell scripting. Familiarity with data loading tools like Sqoop, Flume and Kafka. Knowledge of workflow/schedulers like Oozie. Good aptitude in multi-threading and concurrency concept. Loading data from disparate data source sets. Certifications like Cloudera Developer (CCA175)/ Hortonworks Developer (Spark & Hive) /Administrator Certifications added advantage. Hands on experience with at least two NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes. Ability/Knowledge to implement Data Governance in Hadoop clusters.

Required Skills

  • Bachelor's Degree from an accredited college or university.

  • 8–12 years’ hands on experience in coding for the following Hadoop Eco System: Java, Python, Spark/Scala, Spark/DataSet/DataFrame, Spark-SQL, Py-Spark, Kafka, HIVE, Impala, Scala, Autosys, HBASE, Shell Scripting.

  • Strong experience in Apache Spark development

  • Extensive experience in application development.

  • Excellent analytical and process based skills i.e. process flow diagrams, functional diagrams & etc.

  • History of delivering against agreed objectives.

  • Demonstrated problem solving skills.

  • Ability to pick up new concepts and apply to knowledge.

  • Ability to coordinate competing priorities and drive team work.

  • Ability to work in diverse team environments that are local and remote.

  • Well versed in Linux environment.

  • Strong Communication skills. (Verbal and Written)

  • Work with minimal supervision.

  • Collaborate with business analysts and line of business as needed.

Desired Skills

  • Python

  • KUDU

  • Restful Services

  • Machine Learning/Predictive analytical

  • Spark streaming

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Position Summary

Good knowledge of database structures, theories, principles, and practices. Experience in Java and Knowledge in Hadoop (HDFS/HBASE /SPARKSQL and SPARK/Scala with or prior experience in MapReduce) concepts and ability to write Spark/Scala Dataset, Dataframe & SQL jobs. Proven understanding with Hadoop, Spark, Hive, and Hbase and ability to write Shell scripting. Familiarity with data loading tools like Sqoop, Flume and Kafka. Knowledge of workflow/schedulers like Oozie. Good aptitude in multi-threading and concurrency concept. Loading data from disparate data source sets. Certifications like Cloudera Developer (CCA175)/ Hortonworks Developer (Spark & Hive) /Administrator Certifications added advantage. Hands on experience with at least two NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes. Ability/Knowledge to implement Data Governance in Hadoop clusters.

Required Skills

  • Bachelor's Degree from an accredited college or university.

  • 8–12 years’ hands on experience in coding for the following Hadoop Eco System: Java, Python, Spark/Scala, Spark/DataSet/DataFrame, Spark-SQL, Py-Spark, Kafka, HIVE, Impala, Scala, Autosys, HBASE, Shell Scripting.

  • Strong experience in Apache Spark development

  • Extensive experience in application development.

  • Excellent analytical and process based skills i.e. process flow diagrams, functional diagrams & etc.

  • History of delivering against agreed objectives.

  • Demonstrated problem solving skills.

  • Ability to pick up new concepts and apply to knowledge.

  • Ability to coordinate competing priorities and drive team work.

  • Ability to work in diverse team environments that are local and remote.

  • Well versed in Linux environment.

  • Strong Communication skills. (Verbal and Written)

  • Work with minimal supervision.

  • Collaborate with business analysts and line of business as needed.

Desired Skills

  • Python

  • KUDU

  • Restful Services

  • Machine Learning/Predictive analytical

  • Spark streaming

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21045566

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Jessica Kreiselmaier

Referral Bonus:

0