a:14:{s:7:"resumId";s:3:"604";s:4:"role";s:14:"Data Scientist";s:7:"adminId";s:2:"93";s:12:"whitelabelId";N;s:11:"screeningId";s:3:"173";s:11:"candidateId";s:3:"144";s:18:"candidateDetailsId";N;s:17:"interviewValidity";s:19:"2025-01-12 15:55:19";s:19:"interviewAssignDate";s:19:"2025-01-09 15:55:19";s:11:"companyName";s:36:"TECHJAR TECHNOLOGIES PRIVATE LIMITED";s:9:"response1";s:2419:"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 grow in data engineering.  
3. Roles & Responsibilities: Assist in designing, developing, and maintaining data pipelines, perform data cleaning, transformation, and validation, support the creation of data visualizations and dashboards, collaborate with cross-functional teams to understand data requirements, write reusable and modular code to automate data processing tasks, document processes and workflows, demonstrate strong problem-solving skills, articulate technical concepts to non-technical stakeholders, proactively learn new tools and technologies, maintain attention to detail and accuracy.  
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 (Pandas, Matplotlib/Seaborn, NumPy, Jupyter Notebook, reusable and modular code), MySQL (basic SQL queries, JOIN operations, database schema design, MySQL Workbench), Power BI (dashboard creation, data import and transformation, DAX basics, visualization customization, connecting to multiple data sources), Excel (data cleaning and formatting, basic formulas and functions, pivot tables and charts, conditional formatting, data validation).  
7. Key Competencies: Strong problem-solving skills, excellent communication skills, proactive learning attitude, attention to detail, ability to collaborate with cross-functional teams, ability to document workflows and technical specifications.  
8. Domain/Industry: Information Technology, Data Engineering.  
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, increased responsibilities, preparation for senior roles in data engineering, mentorship opportunities, career progression to roles such as Data Engineer or Data Scientist.  
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";}