Gather and manipulate Big Data in order to monitor patterns and enable business strategies.
2. Machine Learning Engineer
Develop machine learning solutions in terms of algorithms and architectures, as well as implement the models for classification, prediction, and recommender system.
3. Full-Stack Developer
Develop, improve and maintain the data pipeline, architecture, infrastructure used for collecting, storing, processing data for analysis.
4. Business Analyst
Gather requirements from business lines, analyze the data and find the suitable solutions, translate business data analysis into reports and recommendations.
5. Data Analytics Manager
You will be expected to manage analytics teams, ensure data governance, and inform business direction based on data analysis.
6. Big Data Architect
A skills that designed and implement big data environments using tools such as Hadoop, Spark, Hive, HBase for processing big data.
7. Quantitative Analyst
Make use of mathematics and statistics to develop methods for financial analysis and to create trading plans.