Azure Data Engineer – Databrick/Datamining/Schemas
Are you collaborative, innovative, and enjoy visionary thinking? Are you a self-motivated individual who is hardworking with proven work history? Are you forward forward-thinking, creative individual who willingly takes ownership of complex and challenging initiatives? Then, Apply Now!
Working with one of the top financial clients, this role calls for an Azure Data Engineer – Databrick/Datamining/Schemas who will work closely with business owners to identify opportunities and serve as an ambassador for data science. The successful candidate must be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions.
Responsibilities:
- Use a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
- Visualize insights from the data to tell and illustrate stories that convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
- Collaborate with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retain long-term benefit to the business.
Desired Skill Set:
- 3 years of experience with data modelling and data schemas
- 3 years of experience in PowerBI and/or Tableau
- 3 years of hands-on experience with MS AZURE
- 2 years of expertise in Data Mining
- 2 years of experience in Databricks
- Working knowledge of SQL
- Hands-on experience with Python/PySpark and Synapse
Nice To Have:
- Good presentation skills and experience in presenting data
- Banking experience/industry knowledge
- Experience with PowerShell
- Expertise in Project management
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