drjobs Associate Data Engineer – Pricing (FTC)

Associate Data Engineer – Pricing (FTC)

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1 Vacancy
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Job Location drjobs

Mumbai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Associate Data Engineer Pricing

Fixed Term Contract 18 months

About Argus:

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments news analytics consulting services data science tools and industry conferences to illuminate complex and opaque commodity markets.

Headquartered in London with 1500 staff Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs.

Companies trading firms and governments in 160 countries around the world trust Argus data to make decisions analyse situations manage risk facilitate trading and for longterm planning. Argus prices are used as trusted benchmarks around the world for pricing transportation commodities and energy.

Founded in 1970 Argus remains a privately held UKregistered company owned by employee shareholders and global growth equity firm General Atlantic.

What were looking for:

Due to the continued growth of the business and the importance of the data we use on a daily basis we are currently looking for a for a junior data engineer to join our global Data team in Mumbai.

You will work closely with internal clients of the data team to support and maintain R (incl. R Shiny) Excel and databasebased processes for gathering data calculating prices and producing the reports and data feeds. The work also involves writing robust automated processes in R.

The team supports Argus key business processes every day as such you will be required to work on a shiftbased rota with other members of the team supporting the business until 8pm. Typically support hours run from 11pm to 8pm with each member of the team participating 2/3 times a week.

What will you be doing

  • Support and development of data processingsystems
  • Client support with queries relating to
    • integration of Argus data and metadata into client systems
    • data validation
    • provision of data
  • Data and systems support to Argus staff
  • Project development
  • Maintenance and development of existing systems
    • metadata modification
    • data cleansing
    • data checking

Skills and Experience:

  • Significant recent experience of developing tools using R (incl. R Shiny applications) in a commercial (work) environment.
  • Good knowledge and experience of SQL preferably in Oracle or MySQL including stored procedures functions and triggers.
  • Experience with version control systems (e.g. Git) and Unit Testing in R is required.
  • Ability to work both as part of a team and autonomously
  • Excellent communication skills

Desired Skills and Experience:

  • BS degree in Computer Science Mathematics Business Engineering or related field.
  • Experience in visualisation techniques is desirable.
  • Any experience working with energy markets and commodities data is highly desirable
  • Experience developing productiongrade scalable applications in R.

Personal Attributes:

  • Ability to interact with nontechnical people in plain language
  • Innovative thinker with good problemsolving abilities and attention to detail
  • Numerically proficient
  • Selfmotivated with ability to work independently prioritising tasks to meet deadlines
  • Customer service focused

Benefits:

  • Competitive salary
  • Flexible Working Policy
  • Group healthcare scheme
  • 18 days annual leave
  • 8 days casual leave
  • Extensive internal and external training

Please send in your application via ourofficial careers website at posted on other websites and that do not link to our careers website may not be legitimate and may be fraudulent.If you are contacted by someone whom you suspect may not be appropriately representing Argus please send the details to us via anemailwith Recruitment Fraud in the subject title.


Required Experience:

IC

Employment Type

Full-Time

Department / Functional Area

Data Science

About Company

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