Title [Role Challenge] Data Operations & Engineering Intern ✅

1 Role Challenge -Data Operations and Engineering Bengaluru, Intern As a Data Operations Engineering Intern at Origin Medical Research Lab, you will have the opportunity to design efficient algorithms, bringing a systematic approach to data engineering processes. You will strategize and implement these algorithms using cutting-edge data analysis toolkits like Seaborn, Pandas, JSON, CV2, etc. Along with working on vast amounts of data points, your role will also involve structuring them meaningfully. Additionally, you will gain valuable experience in cloud computing, including virtual machines and cloud storage, which will accelerate your career progression in the fields of data engineering and data analytics. Important Information ● Submission Details: ○ Email your RC in a zip folder format to [email protected] which includes the following contents: ■ Your Notebook(preferred)/python script, the resultant files in the said format ■ A report which follows the format as shown in Appendix A ○ Email subject: Clinical Data Engineering - Data Ops and Engineering Role Challenge Submission ○ Name your file in this format: First_Last_Team.pdf eg. Siddhant Kumar for data engineering Team should submit as - Siddhant_Kumar_data_engineering.pdf ○ Please follow the Subject format or your submission will not be evaluated ● For queries contact:[email protected] ● There is a task given below and you need to complete it in order to submit the role challenge successfully. ● Note: You are encouraged to submit earlier if you have completed the challenge instead of waiting till the deadline Role Challenge Data operations are a vital aspect of data engineering, playing a pivotal role in ensuring the smooth functioning and optimization of data systems within an organization. By effectively managing data operations, companies can unlock the true value of their data and derive actionable insights that drive informed decision-making. Data operations encompass a wide range of activities involved in handling data throughout its lifecycle. These activities include data ingestion, data transformation, data quality assurance, data integration, data storage, and data retrieval. A skilled data operations professional oversees and orchestrates these processes to ensure the efficient and reliable flow of data across various systems and platforms. Data operations is an art that involves tackling daily challenges related to data retrieval and processing. The goal is to transform unstructured data into well-organized, structured formats. As a data operations professional, you will write extensive scripts to ensure the seamless execution of these tasks. Collaborating Please read instructions carefully