Data Science & Analytics

As an experienced data analytics professional with 1 to 2 years of experience, you will be responsible for developing and implementing data analytics methodologies. Your role will require good interpersonal skills along with excellent communication abilities. Your technical skills must include proficiency in Python, machine learning, deep learning, data wrangling, and integration with Big Data tools such as Hadoop, Scoop, Impala, Hive, Pig, and Spark R. You should also have a solid understanding of statistics, data mining, algorithms, time series analysis, forecasting, SQL queries, and Tableau data visualization. Having a good grasp of technologies like Hadoop, HBase, Hive, Pig, Mapreduce, Python, R, Java, Apache Spark, Impala, and machine learning algorithms is essential for this role. Your responsibilities will involve developing training content on Big Data and Hadoop technologies for students, working professionals, and corporates. You will conduct both online and classroom training sessions, provide practical use cases and assignments, and design self-paced recorded training sessions. It's important to continuously enhance teaching methodologies for an effective online learning experience and work collaboratively in small teams to make a significant impact. You will be tasked with designing and overseeing the development of real-time projects to provide practical exposure to the trainees. Additionally, you may work as a consultant or architect in developing and training real-time Big Data applications for corporate clients either on a part-time or full-time basis. Hands-on knowledge of tools like Anaconda Navigator, Jupyter Notebook, Hadoop, Hive, Pig, Mapreduce, Apache Spark, Impala, SQL, and Tableau will be required to excel in this role.,