Big Data Developer

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Design, develop and implement analytical solutions that typically involve a combination of analytical, process and business transformation outcomes

Summary about this job

Engineering - Software

Company: HCM Australia

Location: Sydney

Work type: Full Time

Salary: n\a

Phone: +61-2-3627-8792

Fax: +61-3-3680-2054

E-mail: n\a

Site:

Detail information about job Big Data Developer. Terms and conditions vacancy

Join a Boutique team of multi skilled individuals working within one of the worlds most prestigious firms. Work alongside strategists & statisticians, scientists to software developers, anthropologists to behavioural economists as a Big Data Developer.
  
Big Data Developer (Consulting Sydney/Melbourne)

The Big Data Developer will design, develop and implement analytical solutions that typically involve a combination of analytical, process and business transformation outcomes and focus on areas of our client’s business such as customer, product and supply chain, just to name a few.  You will work with business stakeholders on factual problem formation, data identification and deriving answers that can be operationalized to solve business issues. You will work proactively to:
  
  • Analyse new and existing data sources to assess their applicability to address the business issue.
  • Extract and manipulate data from a variety of sources and subsequently cleanse, standardize, scale, bin, categorise, tokenise, stem and transforms it is order to get the data into a state suitable for further analysis.
  • Determine whether a given problem can be usefully addressed with analytical techniques and, if so, what further information or data is required to make this possible.
  • Use discovery tools to perform descriptive analytics to support business case development.
  • Select and configure analytics toolsets considering the clients’ business issue and analytic maturity.
  • Design, develop and implement optimization algorithms and solutions in areas that might include asset and inventory management, communications, channels, risk and portfolio analysis and supply chain management.
  • Design, develop and implement predictive analytical models for areas such as customer segmentation, market basket analysis, offer propensity, demand planning & forecasting, fraud detection, inventory management and risk exposure.
  • Design, develop and implement the approach for productionising model scoring and the closed loop feedback paths required to support true test and learn.
  • Apply visual analysis techniques and toolsets to extract patterns and meaning from data in a visual format.
  • Translate analytical solution outcomes in the context of business impacts and benefits.
  
In addition to your focus on client engagements, you will contribute to the definition and enhancement of analytics and experimental design disciplines within the practice.  
  
You bring to the role
  
  • A sound understanding of digital and cognitive technologies and analytics, information management and business process based solutions.
  • A proven ability to:
  • Extract knowledge, or insight, from structured and structure data.
  • Work with an existing lifecycle management framework to collect metadata, follow coding standards, use version control, complete documentation and write and execute unit tests.
  • Determine the appropriate approach including data collection methods, sampling methods, sample sizes and data processing pipelines to formulate, execute and analyse a sound and reproducible experiment. Including the ability to recognise and construct a closed loop feedback system. 
  • Learn patterns and extract answers from data using algorithms that can build a model based on input data without being explicitly programmed to do so.
  • Apply techniques of statistical inference to test hypotheses and derive estimates of population statistics from sample data.
  • Appropriately communicate discovered information to consumers, clearly using visual variables shape, colour, hue, orientation, etc.
  • Experience with a range of Big Data technologies: Hadoop, Spark Streaming, Storm, NiFi, HBase, Hive, Zeppline Notebooks, Kafka, Ranger, Ambari
  • Experience with a range of programming languages: Java, Python, Scala
  • A disciplined approach to problem solving and an ability to critically assess a range of information to differentiate true business needs as opposed to user requests.
  • Excellent interpersonal, oral and written communication skills.
  • Proven ability to develop and manage enduring client relationships, engendering a sense of trust and respect.
  
What we offer you
We offer rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. We also believe that our business plays a distinct and vital role in helping solve important social and environmental issues; and use our unique skills and expertise to help create positive and lasting impacts for our communities.

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