Advanced knowledge of SQL and NoSQL databases. and cloud data warehouses like Snowflake. Understand query performance optimization, ability to get the root cause of the problem, experience with both structured and unstructured data. Proficient in building databases and data architecture. Creating tables, views, indexes, stored procedures, and writing complex SQL queries using window functions, merge, and multiple joins in an efficient way. Comfortable working in the big data ecosystem with knowledge of technologies and platforms including but not limited to AWS, Hadoop, Scala, Spark, Hive, and FlumeKafka. knowledge of machine frameworks like TensorFlow and SciKit learn. Ability to utilize machine learning and statistical concepts like Regression, Artificial Neural Networks, Decision Trees, statistical modeling, and timeseries forecasting. Thorough knowledge in any objectoriented programming languages like JAVA, Python, Ruby, or Scala. Thorough understanding of frontend and serverside stacks such as Python DjangoFlask, Node.js, HTML5, CSS3, JavaScript, Angular JS among others. Handson experience with data analytics and BI tools like Tableau, Power BI, or QlikView, Familiarity with Git, source control, commandline tools.
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