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Freelance Data Engineer

2 months ago


bhavnagar, India AMR Global Search & Selection Full time

Job Title:                              Freelance Data Engineer

Department:                        Data Science

Starting Date:                      Immediate Start

Working Hours:                  Ideally 2-3 hours per working day (5 days per week) and dependent on project

Contract Duration:           Initially 3-month contract with the potential to continue indefinitely

Reports To:                          Data Scientist

Salary Range:                      INR 30K per calendar month (pro-rata based on 180 hours) and dependent on experience


PLEASE READ THE ENTIRE JOB DESCRIPTION FIRST BEFORE YOU MAKE AN APPLICATION PARTICULARLY THE PART ABOUT CHECKING YOUR SPAM/JUNK EMAIL FOLDER FOR OUR RESPONSE TO YOUR APPLICATION WHICH IS GENERALLY WITHIN 48 HOURS OF YOUR APPLICATION.

 

The Company:

At AMR Global, we specialise in providing tailored recruitment solutions that meet the unique needs of businesses and job seekers alike.

With expertise in permanent, temporary, and contract placements, we connect top talent with leading organisations across various industries. Our team of dedicated consultants leverage extensive market knowledge and a candidate-first approach to ensure the right fit every time.

From executive search to graduate recruitment, we’re committed to delivering results that drive success. Whether you're looking to expand your team or find the next step in your career, AMR Global is here to make the process seamless.


Location:

This is currently a remote/hybrid role.

 

 Summary:

We are seeking a Freelance Data Engineer to support our team by developing scraping solutions which are compliant with legal and ethical standards in web scraping practices and that will gather data from various sources. This data will enhance our Power BI reports and overall business intelligence efforts. The project is already underway, and we are looking for someone to join and contribute to its success


Responsibilities:

●       Develop and implement scraping scripts to extract data from multiple websites, including job boards and company career pages.

●       Ensure compliance with legal and ethical standards in web scraping practices.

●       Schedule and automate web scraping tasks using Azure services, such as: Azure Logic Apps,Azure Functions and Azure Scheduler

●       Clean and structure collected data for seamless integration into Power BI reports.

●       Collaborate with data scientists and finance analysts to align scraped data with business and analytical requirements.

●       Troubleshoot and optimise scraping scripts as websites change or update.

●       Document the web scraping processes and methodologies used.


Requirements:

●       Proven experience as a Data Engineer or similar role;

●       Proficiency in web scraping libraries, particularly Selenium (preferred).

●       Experience with headless mode web scraping in Google Colab.

●       Experience in scheduling and automating scraping tasks using Azure, specifically Logic Apps, Azure Functions, and Azure Scheduler.

●       Web Technologies: Strong knowledge of HTML, CSS, JavaScript, and API interactions.

●       Data Integration: Proven experience with data transformation and integration into data platforms like Power BI.

●       AI Expertise: Hands-on experience in training and tuning AI models, particularly using Gemini and OpenAI.

●       Strong problem-solving and analytical skills;


Education and Qualifications:

●       BE/BTECH/MTECH/ME/MCA in Computer Science or a related field.

●       2+ years of experience with Python, Java, and , SQL;

●       1 Year of experience in NLP

●       1 Year Experience in Microsoft Azure

●       1 Year Experience in Google Gemini/ Open AI Model Tuning and Prompt Engineering

●       Excellent communication and interpersonal skills in English;

●       Ability to work independently and as part of a team;

●       Ability to meet tight deadlines;

●       Excellent communication and interpersonal skills in English;


Compensation and Benefits:

●       Competitive salary and benefits package which will be based on applicants experience and benchmarked on similar positions locally;

●       Opportunity to work with a talented team of professionals on challenging and rewarding projects;

●       Chance to make a real impact on the growth and success of our company;

●       Collaborative and supportive work environment;

●       Opportunities for professional growth and development.

 

The Application Process:

The process will be in 4 stages as follows:

  • You must initially answer the screening questions as below to qualify to stage 2;
  • At this stage, you will be sent an email that will request additional information including your proficiency levels in certain areas, ability to work remotely, remuneration aspirations, a 2-minute video talking about yourself, your experiences and career aspirations etc. Incomplete responses will lead to an automatic rejection of your application by our digital AI assistant, so please read the requirements carefully and answer as completely as possible. PLEASE CHECK YOUR JUNK/SPAM MAILBOX TO SEE IF YOU RECEIVE EMAILS FROM US AS SOMETIMES THEY CAN FIND THEIR WAY IN THERE;
  • If there are no follow-ups to stage 2 above, you will be invited to a video call with one of our HR partners/Data Scientist and the opportunity to ask questions about the company and the role;
  • If successful, the final stage will be a discussion of the specifics and offer of employment with an immediate start.


Note: Following our page and engaging with our posts on are more likely to bring your application to the attention of our recruiting partners and will improve your chances of success in the interviewing process and show that you have read the job description in full. In addition, our page also contains details of other opportunities currently available at AMR Global Search & Selection.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.