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OMNI Big Data Feature Lead - Terradata - Core Technology Infrastructure

Charlotte, North Carolina;

Job Description:

Data Platform Services OMNI initiative is looking for a Big Data Feature Lead who will be responsible for development of the OMNI Big Data Platform. The ideal candidate is someone who has hands-on experience developing in the Hadoop, Cloudera data environment. The candidate will be working with agile teams and responsible for all aspects of SDLC.

• Exhibits strong knowledge of data structures and Big data modeling.

• Experience in Hadoop/HDFS/SPARK concepts and ability to write Spark Dataset, Data frame & HiveQL jobs.

• Proven understanding with Hadoop, Spark, Hive 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.

• Added advantage with certifications like Cloudera Developer (CCA175), Spark & Hive/Administrator Certifications added advantage.

• Hands on experience with NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes.

• Ability/Knowledge to implement Data Management and Governance in Hadoop Platform.

Responsibilities:

• Experience in Apache Hadoop/Spark development

• Well versed in Linux Environment Extensive experience in application development

• Excellent analytical and business process flows, design and diagrams skills

• Strong Collaboration and Team skills

• Proven 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

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

• Strong Communication skills (Verbal and Written)

• Work with minimal supervision

Required:

• Hadoop

• Spark

• Spark-SQL

• Hive on Tez, Hive 3.x

• Impala • Oozie

• Job Scheduler (i.e. like Autosys)

• Shell Scripting

Desired:

Bachelor's degree from an accredited college or university

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Data Platform Services OMNI initiative is looking for a Big Data Feature Lead who will be responsible for development of the OMNI Big Data Platform. The ideal candidate is someone who has hands-on experience developing in the Hadoop, Cloudera data environment. The candidate will be working with agile teams and responsible for all aspects of SDLC.

• Exhibits strong knowledge of data structures and Big data modeling.

• Experience in Hadoop/HDFS/SPARK concepts and ability to write Spark Dataset, Data frame & HiveQL jobs.

• Proven understanding with Hadoop, Spark, Hive 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.

• Added advantage with certifications like Cloudera Developer (CCA175), Spark & Hive/Administrator Certifications added advantage.

• Hands on experience with NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes.

• Ability/Knowledge to implement Data Management and Governance in Hadoop Platform.

Responsibilities:

• Experience in Apache Hadoop/Spark development

• Well versed in Linux Environment Extensive experience in application development

• Excellent analytical and business process flows, design and diagrams skills

• Strong Collaboration and Team skills

• Proven 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

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

• Strong Communication skills (Verbal and Written)

• Work with minimal supervision

Required:

• Hadoop

• Spark

• Spark-SQL

• Hive on Tez, Hive 3.x

• Impala • Oozie

• Job Scheduler (i.e. like Autosys)

• Shell Scripting

Desired:

Bachelor's degree from an accredited college or university

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21062124

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Kathleen Jones-Griffith

Referral Bonus:

0