a:14:{s:7:"resumId";s:3:"609";s:4:"role";s:14:"Data Scientist";s:7:"adminId";s:2:"93";s:12:"whitelabelId";N;s:11:"screeningId";s:3:"176";s:11:"candidateId";s:3:"144";s:18:"candidateDetailsId";N;s:17:"interviewValidity";s:19:"2025-01-12 17:05:10";s:19:"interviewAssignDate";s:19:"2025-01-09 17:05:10";s:11:"companyName";s:36:"TECHJAR TECHNOLOGIES PRIVATE LIMITED";s:9:"response1";s:3232:"1. Job Title: Jr Data Engineer  
2. Introduction/Overview: The Jr Data Engineer will work within the Information Technology (IT) department, contributing to data-driven decision-making processes across any domain, ensuring efficient handling, processing, and visualization of data to support business objectives, ideal for individuals with 0-1 years of experience eager to learn and grow in the field of data engineering.  
3. Roles & Responsibilities: Assist in designing, developing, and maintaining data pipelines to ensure seamless data flow and integration, perform data cleaning, transformation, and validation to ensure data accuracy and reliability, support the creation of data visualizations and dashboards to communicate insights effectively to stakeholders, collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, write reusable and modular code to automate data processing tasks, document processes, workflows, and technical specifications for future reference, demonstrate strong problem-solving skills to address data-related challenges effectively, exhibit excellent communication skills to articulate technical concepts to non-technical stakeholders, show a proactive attitude towards learning new tools and technologies in the data engineering domain, maintain a high level of attention to detail and accuracy in all tasks.  
4. Years of Experience: 0 to 1 year of relevant experience in data engineering or related fields.  
5. Education Qualification: Bachelor of Engineering (BE) or equivalent in Computer Science, Information Technology, or related disciplines.  
6. Skills/Knowledge: Python - proficiency in data manipulation using Pandas, data visualization using Matplotlib/Seaborn, basic understanding of NumPy, writing reusable and modular code, familiarity with Jupyter Notebook; MySQL - ability to write basic SQL queries (SELECT, INSERT, UPDATE, DELETE), understanding of JOIN operations, basic database schema design, data filtering and aggregation, familiarity with MySQL Workbench; Power BI - experience in creating basic dashboards, data import and transformation, understanding DAX basics, visualization customization, connecting to multiple data sources; Excel - skills in data cleaning and formatting, basic formulas and functions (e.g., VLOOKUP, IF, SUMIF), pivot tables and charts, conditional formatting, data validation.  
7. Key Competencies: Strong problem-solving skills, excellent communication skills, proactive attitude towards learning, high attention to detail and accuracy, ability to collaborate with cross-functional teams, ability to document processes and workflows effectively.  
8. Domain/Industry: Data engineering, IT department, data-driven decision-making processes.  
9. Employment Type: No Details Found.  
10. Company Overview: No Details Found.  
11. Benefits & Opportunities: Structured growth path over three years, opportunity to develop technical expertise, take on increased responsibilities, prepare for senior roles in data engineering, potential promotion to roles such as Data Engineer or Data Scientist, equal opportunity employer valuing diversity.  
12. Location & Travel: No Details Found.  ";s:13:"screeningName";s:41:"CV Screening-Data Engineer-Data Scientist";s:14:"candidateEmail";s:23:"magadumtanmay@gmail.com";s:13:"candidateName";s:6:"Tanmay";}