Bungee Tech is hiring for a Data Engineer Intern role in India

Position:

• Job Title: Data Engineer Intern

Company:

• Company Name: Bungee Tech

Location:

• Job Location: Remote

Job Type:

• Employment Type: Internship

Job Mode:

• Work Mode: Remote

Job Requisition ID:

• ID: Not provided

Years of Experience:

• Experience Required: Entry-level, suitable for students in the B.E / B.Tech 2023/2024 batch.

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Company Description:

Bungee Tech is at the forefront of revolutionizing the way retailers and brands engage with their customers. With a focus on delivering high-quality, data-driven insights, the company helps businesses stay competitive in today’s fast-paced, omnichannel retail environment. Bungee Tech gathers billions of data points from public sources multiple times per day. This data is used to generate comprehensive insights into the competitive landscape of its clients. Through advanced techniques in data extraction, the company provides detailed information on products, pricing, promotions, and availability. This empowers retailers and brands to maintain a customer-centric approach, consistently adapting to changing market conditions. The company’s ability to identify and track unmatched data points further supports its clients by highlighting new opportunities for product assortments. With innovation and customer value at its core, Bungee Tech continuously strives to provide its clients with cutting-edge market intelligence.

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Profile Overview:

As a Data Engineer Intern at Bungee Tech, you will be part of a dynamic team responsible for collecting, managing, and analyzing vast amounts of data. Your primary role will involve supporting the company’s data warehousing and engineering initiatives. This internship is ideal for students who are passionate about working in data engineering, data science, and analytics. As part of your day-to-day responsibilities, you will help design and implement data pipelines, ensure data accuracy, and optimize data storage and retrieval processes.

You will collaborate with both technical and business teams, contributing to the seamless flow of information. Your tasks will include writing clean, efficient code in languages such as Java, Python, and C++ while leveraging your knowledge of relational and non-relational databases. A significant part of your role will involve ensuring data quality, tracking data points, and assisting in the development of tools for market analysis.

In this role, you will gain hands-on experience working with ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, as well as data modeling and performance tuning. You will also have the opportunity to work with scripting languages such as Perl, Python, Ruby, and shell scripts, enhancing your technical expertise in building and maintaining scalable data systems.

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Qualifications:

• Educational Background:

  • B.E / B.Tech in Computer Science (CSC) or Information Technology (IT), 2023/2024 batch.

• Technical Skills:

  • Strong foundation in data warehousing concepts and architectures, including the ability to design, implement, and optimize data pipelines.
  • Knowledge of infrastructure components related to data warehousing, such as ETL/ELT processes, analytic tools, and reporting environments.
  • Expertise in coding with Java, Python, C++, or equivalent object-oriented programming languages, allowing you to handle complex data extraction and manipulation tasks.
  • Familiarity with relational and non-relational databases, including a basic understanding of SQL for querying data.
  • Proficiency in at least one scripting language, such as Perl, Python, Ruby, or shell script, to support automation and scripting tasks.

• Soft Skills:

  • Effective communication skills to collaborate with cross-functional teams, including both technical and business stakeholders.
  • Ability to work in a fast-paced, dynamic environment while maintaining attention to detail and a high level of accuracy in data-related tasks.

• Preferred Traits:

  • Problem-solving mindset with the ability to approach challenges in innovative ways.
  • A passion for data, analytics, and continuous learning in the field of data engineering.

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Additional Info:

• Work Environment:

  • Fully remote internship, offering the flexibility to work from anywhere while being part of a highly collaborative and supportive team environment.

• Learning Opportunities:

  • Exposure to real-world data challenges and the opportunity to work on live projects that impact major retailers and brands. This internship provides hands-on experience in building scalable data pipelines and processing large datasets.

• Career Growth:

  • The Data Engineer Intern role serves as a gateway to future opportunities in data engineering, data science, and analytics. Interns who perform well may have the chance to transition into full-time roles within the company after the internship.

• Mentorship:

  • Interns will have access to mentorship and guidance from experienced professionals in the field. This includes one-on-one coaching sessions to enhance both technical and professional skills.

• Tools and Technologies:

  • You will gain experience working with cutting-edge technologies in data warehousing, data extraction, and market analysis. The company uses advanced tools for data collection, matching, and tracking, providing a comprehensive learning experience.

• Impact:

  • The work you do as a Data Engineer Intern will directly contribute to the company’s mission of empowering retailers and brands to stay competitive in the market. Your contributions will help improve the quality of data insights, enabling clients to make more informed decisions that benefit their customers.

Please click here to apply.

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