DATA ENGINEERING

• Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
• Developing ETL/ELT processes
• Knowledge in databases and Data warehouse modeling
• Knowledge in Cloud based data engineering and Machine Learning Models
• Knowledge in building APIs for application integration
• Experience with various frameworks and processes, such as Agile
• Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
• Implement strategies for cleaning and preparing data for analysis, to develop data imputation algorithms, and optimize performance of big data and machine learning systems

Above average skills in:

• Big Data Engineering and Processing using Hadoop stack (Hadoop, Hive, HDFS, Spark and HBase etc.)
• Develop ETL/ELT processing using Apache Ni-Fi
• Strong background on SQL and databases
• Programming Skills in Python or Scala
• Data Analysis and Validation skills
• UI and AI development

Demonstrated ability to:

• Work in a dynamic, fast-paced, work environment
• Self-motivated with the ability to work under minimal direction
• To adapt to new technologies and learn quickly
• A passion for data and information with strong analytical, problem solving, and organizational skills
  • Work in multi-functional groups, with diverse interests and requirements, to a common objective