Data Science & Analytics

As a Data Analytics Methodologies Developer with 1 to 2 years of experience, your role will involve implementing various data analytics methodologies and technologies. You are expected to have good interpersonal skills along with excellent communication abilities. Key Responsibilities: - Develop training content for Big Data/Hadoop technologies aimed at students, working professionals, and corporate clients - Conduct both online and classroom training sessions, providing practical use cases and assignments - Create quality self-paced recorded training sessions covering the latest Big Data/Hadoop development technologies - Continuously enhance teaching methodologies to adapt to the online learning model and improve student engagement - Collaborate in small teams where each member has significant ownership and the opportunity to make a substantial impact - Guide trainees in developing real-time projects for practical exposure - Serve as a consultant or architect in developing and training real-time Big Data/Hadoop applications for corporate clients either part-time or full-time Qualifications Required: - Proficiency in Python, Machine Learning, Deep Learning, Data Wrangling, and SQL queries - Experience with integrating Big Data technologies such as Hadoop, Scoop, Impala, Hive, Pig, and Spark, along with a strong foundation in Statistics, Data Mining, and Algorithms - Understanding of tools like Tableau for Data Visualization - Hands-on knowledge of Anaconda Navigator, Jupyter Notebook, Hadoop, Hive, Pig, Mapreduce, Apache Spark, Impala, and SQL Please Note: This job involves working in a collaborative environment where each team member's contributions are valued, and there is a focus on continuous learning and improvement in teaching methodologies to ensure high-quality training delivery. As a Data Analytics Methodologies Developer with 1 to 2 years of experience, your role will involve implementing various data analytics methodologies and technologies. You are expected to have good interpersonal skills along with excellent communication abilities. Key Responsibilities: - Develop training content for Big Data/Hadoop technologies aimed at students, working professionals, and corporate clients - Conduct both online and classroom training sessions, providing practical use cases and assignments - Create quality self-paced recorded training sessions covering the latest Big Data/Hadoop development technologies - Continuously enhance teaching methodologies to adapt to the online learning model and improve student engagement - Collaborate in small teams where each member has significant ownership and the opportunity to make a substantial impact - Guide trainees in developing real-time projects for practical exposure - Serve as a consultant or architect in developing and training real-time Big Data/Hadoop applications for corporate clients either part-time or full-time Qualifications Required: - Proficiency in Python, Machine Learning, Deep Learning, Data Wrangling, and SQL queries - Experience with integrating Big Data technologies such as Hadoop, Scoop, Impala, Hive, Pig, and Spark, along with a strong foundation in Statistics, Data Mining, and Algorithms - Understanding of tools like Tableau for Data Visualization - Hands-on knowledge of Anaconda Navigator, Jupyter Notebook, Hadoop, Hive, Pig, Mapreduce, Apache Spark, Impala, and SQL Please Note: This job involves working in a collaborative environment where each team member's contributions are valued, and there is a focus on continuous learning and improvement in teaching methodologies to ensure high-quality training delivery.