Modeling, Data Visualisation Tools, Reporting Tools, Big Data Tools, Scripting and Programming Languages, Cloud
Prgramming Languages, Machine Learning Frameworks, Big Data Tools, and Data Storage Solutions. Qualification:
design & build scalable ETL systems for a Big Data warehouse to implement robust & trustworthy knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI). Expert
designing and building scalable ETL systems for a big data warehouse to implement robust and trustworthy implementation and operations Trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Expert knowledge
knowledge of Ms Excel. Cleaning and working with big data sets and Wwriting and repairing formulas. Unpacking Unpacking and creating reports from big data sets KNOWLEDGE AND SKILLS Good Negotiating Skills Problem Solving
knowledge of Ms Excel. Cleaning and working with big data sets and Wwriting and repairing formulas. Unpacking Unpacking and creating reports from big data sets KNOWLEDGE AND SKILLS Good Negotiating Skills Problem Solving
Engineers are responsible for building and maintaining Big Data Pipelines using GROUP Data Platforms. Data Engineers Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP
AWS, Azure, Google Cloud)
dimensional modelling techniques SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience
maintaining a database to store information. (Big Data). Data management is important because the data