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

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• 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.
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
• Demonstrated experience across a broad range of industries such as Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, Telecommunications or Consumer Business.
• 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.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.

• 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.