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The Data Engineer role demands addressing complex business problems by developing and deploying robust statistical and machine learning based advanced analytics solution deriving new insights from large datasets predominantly based on CLIENT’s enterprise systems such as but not limited to Oracle, SAP, Salesforce.com and others.
Data Engineer
| Posted Date | 2 months ago |
| Location | Dubai |
| Job Reference | 32283 |
| Salary | 0.0 |
Summary
The regional Analytics Team is primarily responsible of delivering cutting-edge advance analytics solution that offer actionable insights and have extremely positive impact on CLIENT Power Services business.The Data Engineer role demands addressing complex business problems by developing and deploying robust statistical and machine learning based advanced analytics solution deriving new insights from large datasets predominantly based on CLIENT’s enterprise systems such as but not limited to Oracle, SAP, Salesforce.com and others.
Essential Responsibilities:
- Translate complex quantitative analysis into compelling actionable insights through visualization and other appropriate techniques
- Conduct in-depth exploratory analysis of data using advanced analytics techniques to identify new insights
- Design end-to-end advanced analytics solutions, present performance metrics with eminence and address business needs in supporting data-driven decision making
- Leveraging CLIENT’s Big Data Platform, prepare data by applying ETL (extraction, transformation and loading) based on CLIENT technology stack
Technical Skills
- Solid knowledge of applied statistics
- Hands-on experience of Data Engineering with Python, R, Data Warehousing and Data Lake
- 3 to 5 years of experience in Data Science, Machine Learning
- 3 to 5 years of experience in Statistical Modeling, Predictive Modeling and Deep Learning
- 3 to 5 years of experience in Big Data Technologies such as Hadoop, SPARK
- 3 to 5 years of experience in Data Visualization Tools and Libraries
- 3 to 5 years of experience in Python or R, Java and C++ Programming
- 3 to 5 years of experience in SQL, RDBMS and NoSQL
- 3 to 5 years of experience in Pandas, Scikit-Learn, Stata, TensorFlow and Keras
- 3 to 5 years of experience in Data Cleansing, Data Mining, Text Analytics, and Data Wrangling
- Hands-on experience and solid understanding of supervised and unsupervised machine learning algorithms