Available Opportunities
VAC7708 - Expert – Big Data (6 Month Contract)
Field: Information Technology Contract Type: Contract
Location: Oman - Muscat Closing date: 05-Jun-2019
Ooredoo Oman Family Member:

As the Expert – Big Data you will be responsible for the designing and architecture of enterprise data platform, and the integration of (EDP) with source systems. S/He has to ensure data integrity and data quality in the EDP. Analyse applications and data integration problems, provide solutions and recommend corrective actions.

Core Responsibilities:

You will be responsible of the following:

  • Ensure detailed analysis of business and technical requirements to ensure the most appropriate technical design approach for supporting those requirements
  • Design, create and tune physical data objects to support structure, simi-structured and unstructured data, ensuring a high performance data storage setup, which provides for quick access to data and timely availability of reports to end-users

  • Formulate and maintain a detailed and long-term ETL/ELT methodology / approach using data ingestion/pipelines solutions like Apache Spark, Nifi, and Pivotal Spring Cloud Data Flow for data integration and real-time data processing pipelines.

  • Responsible for how the data will be stored, consumed and managed within the Enterprise Data Platform

  • Recommend relational (RDBMS) and non-relational (NoSQL, Big Data, Doc DB) data storage technologies suitable to meet business and data needs based on deep understanding of data and existing/planned usage

  • Drives the evaluation and adoption of emerging data storage technologies including Telecommunications sector industry standards and best practices

  • Liaise with support and operational units to ensure data processing SLAs are well defined and followed

  • Responsible for designing metadata (business glossary, definition, golden source, derivation logic, ownership, etc.), data lineage, quality, profiling, mining and master data management.

  • Manage and establish standards for naming and abbreviation conventions, data definitions, ownership, documentation and change management procedures/techniques

  • Create technical design documents detailing appropriate specifications related to projects
  • Review technical design documents created by other team members to ensure consistency in design principles, and compliance to the overall ETL/ELT methodology

  • Ensure adherence of data-refresh processes for the EDP to pre-defined SLAs through effective monitoring and constant improvement of the EDP ETL environment

  • Monitor and proactively address / escalate any data quality / data integrity issues, and provide recommendations to resolve such issues in the future

  • Provide daily/weekly reports to the section head, with regards to ongoing tasks and projects
  • Follow-up on on-going projects and provide enhancement methods on existing systems

  • Review project plans

  • Quality assure plans and produced documents
  • Ensure timely delivery of all projects through effective team work

  • Understanding of Data Warehouse concepts, tools and repositories and transfer the knowledge to any team member if requested by management and team
The Person:

You should have minimum 8+ years of experience in a similar environment, expert in data modelling and data ingestion / ETL / ELT, thorough understanding of Big Data solutions and architecture, have a deep understanding of various data modelling methodologies, design patterns and design principles in data lake, proficient with & responsible to design raw data vault, data lake, data warehouse & mart, thorough understanding of relational database management systems and SQL, working knowledge of Unix/Windows operating systems, working knowledge in Hadoop, Hortonworks HDP and HDF, Pivotal Spring Cloud Data Flow and GemFire, working knowledge of Ambari, Hive development, YARN, TEZ, skilled in shell scripting, C/C++, Python, R Language, Spark, Impala & Kafka, must have excellent skills in requirements analysis, data assessment, business process reengineering, and fully familiarity with data warehousing design concepts such as 3rd Normal Form and Dimensional modelling, MS Office proficiency  Fluent in written and spoken English and Arabic with a bachelor degree in computer science or information systems.

Skills Required:
  • Data Analysis

  • Solution Design

  • System Architecture

  • System Enhancement

  • Project participation

  • Report writing
  • Communicating Effectively

  • Results Oriented

  • Detail conscious and Analytical Thinking

  • Teamwork

  • Customer focus
Note: you will be required to attach the following:
1. Resume / cv
2. Passport-size photograph
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