Google is hiring for a Data Engineer Analytics and Data Science

Job Description:

Company Name	Google
Position	Data Engineer Analytics and Data Science
Qualifications	Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
Experience	1 year
Location	Bangalore
CTC	Not Disclosed

Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
1 year of experience in data engineering or business intelligence roles.
Experience with relational databases, including SQL queries, database definition, and schema design.
Experience with one or more programming languages (e.g., Python, Java, C++, etc.).

Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
Experience with data warehouses, distributed data platforms, and data lakes.
Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders.
Excellent business and technical communication, organizational, and problem-solving skills.
Excellent structured thinking skills, with the ability to break down multi-dimensional problems.

Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users.
Work with analysts to scale value-creating capabilities, including data integrations and transformations, model features, as well as statistical and machine learning models.
Drive standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocate best practices, and lead analyst trainings.

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.

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.

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.

Google Google Google Google Google Google Google Google