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Bank of America Production Support - AML base Team in Addison, Texas

Production Support - AML base Team

Charlotte, North Carolina;Addison, Texas

Job Description:

Position Summary

We are searching for a Production Support applicant that has experience with 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) 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

  • 2–7 years’ hands on experience in coding for the following Hadoop Eco System.

  • Experience with the following:

  • Java

  • Python

  • Spark/Scala

  • Spark/RDD

  • Spark-SQL

  • Kafka

  • HIVE

  • Impala

  • Scala

  • Oozie

  • Autosys

  • HBASE

  • Shell Scripting

Desired Skills

  • Administrator Certifications added advantage.

  • Bachelors Degree in Computer Science or related field.

  • 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

We are searching for a Production Support applicant that has experience with 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) 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

  • 2–7 years’ hands on experience in coding for the following Hadoop Eco System.

  • Experience with the following:

  • Java

  • Python

  • Spark/Scala

  • Spark/RDD

  • Spark-SQL

  • Kafka

  • HIVE

  • Impala

  • Scala

  • Oozie

  • Autosys

  • HBASE

  • Shell Scripting

Desired Skills

  • Administrator Certifications added advantage.

  • Bachelors Degree in Computer Science or related field.

  • 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-21013274

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Jessica Kreiselmaier

Referral Bonus:

0

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