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Data Analyst (Big Data)

In this role, you will be responsible for:

  • Working closely with business leaders to understand priorities, and the key decisions for which analytics support is required
  • Developing models to generate actionable insights that help inform those business decisions
  • Making clear, data-driven, and actionable, recommendations to the business on new initiatives and areas for potential improvement
  • Presenting data and recommendations in a well-structured, clear, format
March 20, 2017 // Singapore //
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Big Data Solution Architect

Skills & experience required

To ensure the success of the role, you should have the following:

• 8+ years of technology consulting experience

• Proven technical expertise in designing large/complex Big Data solutions around Hadoop/Spark/Cloudera

March 20, 2017 // Singapore //
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Big Data Analytics Solution Sales Expert

Responsibilities will include:

  • Work closely with the Amdocs CBEs, the Sales Directors and the peers in the Customer Business Group, supporting the development of new business opportunities within specific territories/accounts within the Big Data Analytics domain.
  • Participate in region Pre-sale activities and sales support for Amdocs’ BDA products and solutions, including responses to RFIs, RFPs and inquiries.
  • Deliver on-site discovery / assessments with customers and partners. That includes understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings and roadmap.
March 15, 2017 // Singapore //
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Technical Architect Big Data


  • Bachelor’s Degree or equivalent experience required
  • 10+ years of overall experience in professional data engineering; Business Intelligence Expertise
  • At least 3+ years of hands-on experience with Hadoop distributions (including real time/streaming data analysis);
  • Strong leadership, critical thinker with problem solving aptitude
March 15, 2017 // Singapore //
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Data Analytics Technical Specialist (JAPAC), Google Cloud

Preferred Qualifications

  • Master’s degree in Computer Science or a related technical field.
  • Extensive experience serving as a Technical Customer Engineer in a cloud computing environment, or equivalent experience in a customer facing role (including working as a member of a professional services or systems engineering team).
  • Experience with developing Data Warehousing, batch or real-time event processing and ETL workflows solutions which could include architecture, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
March 15, 2017 // Singapore //
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Enterprise Big Data Architect

The key responsibilities are as follows:

  • Translates Business requirements or pain points into Technical Requirements
  • Deep Dive into technical solutions
  • Drive technical discussions
  • Define the industry best practices
  • Lead the Architecture Review Board for reviewing and approving new software and hardware solutions
  • Recommends and participates in the design and implementation of standards, tools and methodologies.
March 15, 2017 // Singapore //
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Sales Manager (Big Data)


· More than 5 years work experience in Business Development or Sales, with a proven passion and track record for solving complex and ambiguous problems to drive revenue.

· Bachelor’s degree, with strong academic record in Marketing, International Trade, Business Administration, or related fields

· Experience and understanding of Big Data Analytics, Research, Consumer Insight, or Market Intelligence is a plus.

March 15, 2017 // Singapore //
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System Analyst (EDW – ETL)


  • Perform technical design, data mapping and ETL on the Bank’s Enterprise Data Warehouse platform in support of various business intelligence solutions including Finance, Risk, Marketing and Regulatory reporting
  • Sourcing data from operational systems, conduct data mapping and modeling, applying business transformation rules, perform ETL
  • Write technical specifications, test plan/scenarios, conduct testing and review
  • Work with relevant parties such as Project Managers, Information Security, Business Analysts, Infrastructure team, Business users and vendors during project implementation
March 6, 2017 // Singapore //
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