Job Description:
Company Name | Fractal |
Position | Apprentice |
Qualifications | BCA, MCA, MSc in CS/IT |
Experience | Freshers |
Batch | 2022/2023 |
Location | Bengaluru, Pune, Mumbai, Chennai, Gurgaon |
Stipend | Upto 35K/Month (Exp) |
Job Role
Apprentice would go through a dynamic program offering them training and exposure to multiple skills. Basis availability of projects, an apprentice would get an exposure to any of the below mentioned career tracks. Generic understanding of the role in each track is as follows:
Data Visualization (Information Architecture): Deliver insight, innovation, and impact to our Fortune 500 clients through predictive analytics and visual storytelling.
- Understand business requirements and address them with conceptualizing and designing of solutions.
- Learn and deploy BI solutions with minimal guidance (post-training)
- Drive insights from data
- Deliver impact with automation & innovations.
- End-to-end ownership of delivery
- Rigorous documentation & drive operational efficiency with guidance.
Data Engineering: Work with a team that helps deliver our Data Engineering offerings at a large scale to our Fortune 500 clients worldwide.
- Learn and implement the best engineering principles to build data pipelines to drive analytical insights leveraging Cloud native stacks and Cloud agnostic stacks (All cloud services for each of the clouds, Open-source stacks like Python, Pyspark, etc.)
- Build data pipelines for both structured and unstructured data for real-time and batch-oriented systems
- Build composition-based data solutions leveraging Services oriented and Microservices architecture
- Build real-time solutions leveraging Digital and IOT data
- Build Lakehouses and Warehouses
- Develop next-generation warehouse solutions using Knowledge graphs.
Decision Sciences:
- Communicating with the clients and understanding their business needs
- Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns.
- Harmonize data as required and set models according to the business logic defined.
- Use statistical tools to identify and evaluate the relationships between data fields, analyze the output, and determine the next action.
Perks & Benefits:
- Medical Insurance for self & dependents
- Hybrid work mode
- Free Meals
Note: Conversion to FTE would be based on performance and availability of headcount.
Year of passing: 2022/2023. Candidates with previous experience are not eligible to apply for this role.
(This opportunity is not for B.Tech or M.Tech candidates)
Instructions To Be Followed Before Applying for the Job:
- Review the Job Description: Carefully read through the job description to understand the role, responsibilities, and requirements. Make sure that you have a clear understanding of what position you are applying.
- Crosscheck Your Skills: Compare the skills listed in the job posted description with your skill set. Evaluate whether you possess the necessary technical and non-technical skills for the mentioned role. Highlight your strengths and identify any areas that may need improvements.
- Check Eligibility Criteria: Verify if you meet the criteria as mentioned in the job posting, such as your educational qualifications, work experience, or relevant certifications. Ensure you fulfill the basic requirements before proceeding further.
- Customize your resume and Cover Letter: Align your resume with the specific requirements mentioned in the job description. Highlight relevant experiences and skills that make you a strong fit for the role.
- Research about the Company: Take some time to research the company that you are applying to. Understand the vision, culture, mission, and services they offer. This knowledge will make you tailor your application and tell you that you’re interested in the company.
Resume Do’s:
- Clearly highlight your contact information, including your name, number, email address, and LinkedIn profile(if applicable). Make sure that mentioned details are easily visible at the top of your resume.
- Generate a concise professional summary or objective statement that effectively presents your career objectives while emphasizing your pertinent skills and experiences.
- Include any relevant work experience, internships, or projects, focused on your accomplishments and responsibilities.
- Highlight your technical skills, programming, tools, and software that are relevant to the job you’re applying for.
- Provide a comprehensive overview of your educational background, encompassing the institution’s name, the degree obtained, the major of study, and the date of graduation.
- Mention any certifications, training programs, or workshops that you have completed for the position(if any).
- Use bullet points to organize information and make it easy to read. Keep sentences concise and use specific examples to concise your skills.
Resume Don’ts:
- Avoid including unnecessary information such as your marital status, gender, and dob. Focus on professional and job-related details.
- Don’t provide false information. Be honest about your skills, as employers may verify the information that you provided during the hiring process.
- Don’t use a generic resume for all job applications. Take the time to customize your resume for each position to highlight your skills.
- Avoid including references directly on your resume. Perhaps, provide a separate reference page if requested by the employer
- Avoid using long paragraphs. Instead, use bullet points and concise sentences to make your resume more readable.
- Remember, a well-arranged resume should be concise and focused on showcasing your relevant skills, and qualifications to make a strong impression on potential employers.
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