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【独家发布】Senior Big Data Specialist/Developer (Hadoop)- Procom [推广有奖]

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hanszhu 发表于 2016-8-24 07:53:50 |AI写论文

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  1. Senior Big Data Specialist/Developer (Hadoop)
  2. Procom 29 reviews - Toronto, ON
  3. Contract
  4. On behalf of our telecommunications client, Procom is seeking a Senior Big Data Specialist/Developer

  5. Big Data Specialist Job Details

  6. As a member of the Network Big Data team, reporting to the Network Big Data CoE Manager, the Big Data Specialist will play a leading role in the development of new products, capabilities, and standardized practices using Big Data technologies. Working closely with our business partners, this person will be part of a team that advocates the use of Big Data technologies to solve business problems, and be a thought-partner in the Big Data space.

  7. Big Data Specialist Job Responsibilities

  8. Hands-on support and configuration of the following:
  9. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support

  10. Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis

  11. Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)

  12. Create formal written deliverables and other documentation, and ensure designs, code, and documentation are aligned with enterprise direction, principles, and standards

  13. Train and mentor teams in the use of the fundamental components in the Hadoop stack

  14. Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions

  15. Troubleshoot production issues within the Hadoop environment

  16. Performance tuning of a Hadoop processes and applications

  17. Proven experience as a Hadoop Developer/Analyst in Business Intelligence and Data management production support space is needed.

  18. Strong communication, technology awareness and capability to interact work with senior technology leaders is a must

  19. Good knowledge on Agile Methodology and the Scrum process

  20. Delivery of high-quality work, on time and with little supervision

  21. Critical Thinking/Analytic abilities

  22. Big Data Specialist Mandatory Skills

  23. Bachelor in Computer Science, Management Information Systems, or Computer Information Systems is required.

  24. Minimum of 4 years of Building Java apps

  25. Minimum of 2 years of building and coding applications using Hadoop components - HDFS, Hbase, Hive, Sqoop, Flume etc.

  26. Minimum of 2 years of coding Java Scala / Spark, Python, Pig programming, Hadoop Streaming, HiveQL

  27. Minimum 4 years understanding of traditional ETL tools & Data Warehousing architect.

  28. Strong personal leadership and collaborative skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.

  29. Experience in Exadata and other RDBMS is a plus.

  30. Must be proficient in SQL/HiveQL

  31. Hands on expertise in Linux/Unix and scripting skills are required.

  32. Proficiency with SQL, NoSQL, relational database design and methods

  33. Deep understanding of techniques used in creating and serving schemas at the time of consumption

  34. Identify requirements to apply design patterns like self-documenting data vs. schema-on-read.

  35. Played a leading role in the delivery of multiple end-to-end projects using Hadoop as the data platform.

  36. Successful track record in solution development and growing technology partnerships

  37. Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience.

  38. Strong inter-personal and communication skills including written, verbal, and technology illustrations.

  39. Experience working with multiple clients and projects at a time.

  40. Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).

  41. Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum).

  42. Demonstrated capability with business development in big data infrastructure business

  43. Big Data Specialist Start Date

  44. ASAP or two weeks notice

  45. Big Data Specialist Length

  46. This is an initial 12 month contract with possibility of extension.
  47. Big Data Specialist

  48. On behalf of our telecommunications client, Procom is seeking a Senior Big Data Specialist/Developer

  49. Big Data Specialist Job Details

  50. As a member of the Network Big Data team, reporting to the Network Big Data CoE Manager, the Big Data Specialist will play a leading role in the development of new products, capabilities, and standardized practices using Big Data technologies. Working closely with our business partners, this person will be part of a team that advocates the use of Big Data technologies to solve business problems, and be a thought-partner in the Big Data space.

  51. Big Data Specialist Job Responsibilities

  52. Hands-on support and configuration of the following:
  53. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support

  54. Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis

  55. Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)

  56. Create formal written deliverables and other documentation, and ensure designs, code, and documentation are aligned with enterprise direction, principles, and standards

  57. Train and mentor teams in the use of the fundamental components in the Hadoop stack

  58. Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions

  59. Troubleshoot production issues within the Hadoop environment

  60. Performance tuning of a Hadoop processes and applications

  61. Proven experience as a Hadoop Developer/Analyst in Business Intelligence and Data management production support space is needed.

  62. Strong communication, technology awareness and capability to interact work with senior technology leaders is a must

  63. Good knowledge on Agile Methodology and the Scrum process

  64. Delivery of high-quality work, on time and with little supervision

  65. Critical Thinking/Analytic abilities

  66. Big Data Specialist Mandatory Skills

  67. Bachelor in Computer Science, Management Information Systems, or Computer Information Systems is required.

  68. Minimum of 4 years of Building Java apps

  69. Minimum of 2 years of building and coding applications using Hadoop components - HDFS, Hbase, Hive, Sqoop, Flume etc.

  70. Minimum of 2 years of coding Java Scala / Spark, Python, Pig programming, Hadoop Streaming, HiveQL

  71. Minimum 4 years understanding of traditional ETL tools & Data Warehousing architect.

  72. Strong personal leadership and collaborative skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.

  73. Experience in Exadata and other RDBMS is a plus.

  74. Must be proficient in SQL/HiveQL

  75. Hands on expertise in Linux/Unix and scripting skills are required.

  76. Proficiency with SQL, NoSQL, relational database design and methods

  77. Deep understanding of techniques used in creating and serving schemas at the time of consumption

  78. Identify requirements to apply design patterns like self-documenting data vs. schema-on-read.

  79. Played a leading role in the delivery of multiple end-to-end projects using Hadoop as the data platform.

  80. Successful track record in solution development and growing technology partnerships

  81. Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience.

  82. Strong inter-personal and communication skills including written, verbal, and technology illustrations.

  83. Experience working with multiple clients and projects at a time.

  84. Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).

  85. Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum).

  86. Demonstrated capability with business development in big data infrastructure business

  87. Big Data Specialist Start Date

  88. ASAP or two weeks notice

  89. Big Data Specialist Length

  90. This is an initial 12 month contract with possibility of extension.
  91. 22 hours ago
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关键词:specialist developer Big data Develop Special reporting products Network leading behalf

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Kamize 学生认证  发表于 2016-8-24 08:37:16
谢谢分享啊

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