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Deloitte

T&T Consultant - Artificial Intelligence & Data (Data Engineer) - SG

Deloitte
BusinessSingapore, Singapore, SGFull-time2 weeks ago
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About the role

AI summarised

This is a Data Engineer Consultant role within Deloitte's Artificial Intelligence & Data team in Southeast Asia. The consultant will drive growth of intelligent automation solutions, design data structures, and implement data integration for clients across various industries. The role requires experience in Big Data technologies, cloud data engineering, and Agile methodologies.

BusinessFull-timeEngineering, AI & Data

Key Responsibilities

  • Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
  • Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
  • Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
  • Ability to link industry specific business requirements to BI, Analytics and Big Data solutions.
  • Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
  • Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
  • Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
  • Respect the needs of their colleagues and build up cooperative relationships.
  • Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams' work to achieve the objectives.
  • Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.

Requirements

  • A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
  • Experience in Big 4 or MNC Consulting firm or industry equivalent role.
  • Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
  • Strong experience in one or more of the following programming languages: Scala, Python, or R.
  • Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
  • Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
  • Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
  • Experience in cloud Data Engineering.
  • Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
  • Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
  • General knowledge of Linux/Unix based operating systems and Shell scripting.
  • Experience directly interfacing with business and IT stakeholders for clients.
  • Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
  • Drive, tenacity, client focused and results oriented.
  • Excellent communication and presentation skills in English.
  • In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills.
  • Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities.
  • An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.