big data architecture • Skills • Data warehousing and ETL • Experience with big data tools: Hadoop, Spark, Kafka, etc. • In-depth knowledge of SQL and NoSQL databases • Data architecture , Data Scientist (ML Engineer) • Role • Clean, process and organize big data • Skills • Statistical and analytical skills • Good understanding of machine learning techniques • Experience with common data science toolkits • Good scripting and programming skills Data Analyst • Role • Identify, analyze, and interpret patterns in complex data sets • Skills • Data warehousing • Scripting and statistical skills • Reporting and data visualization skills • SQL knowledge NLP Engineer • • - - • • - • A - - - - - -