Bungee Tech Data Engineer – Intern
Welcome to Hiring Hustle !
Bungee Tech Data Engineer – Intern
Position: Data Engineer – Intern
Company: Bungee Tech
Location: Remote
Work Type: Internship
Company Overview:
Bungee Tech is committed to helping retailers and brands understand and engage with customers across all channels. By collecting billions of data points daily, Bungee Tech offers insights into competitive landscapes, helping clients optimize their pricing, promotions, and product availability. Bungee Tech’s data solutions enable companies to innovate and create value centered around customer needs.
Responsibilities:
- Support in building and managing data pipelines to collect, process, and analyze large data sets.
- Work closely with engineering and business teams to create high-quality, high-performance data warehouse solutions.
- Assist in extracting, transforming, and loading (ETL/ELT) processes to ensure data integrity and usability.
- Contribute to identifying new data matching opportunities that support business decisions.
Required Skills and Qualifications:
- Education: Pursuing a B.E/B.Tech in Computer Science, Information Technology, or related fields (2023/2024 batch).
- Technical Skills:
- Strong understanding of data warehousing concepts, including architectures, data modeling, and performance tuning.
- Proficient in Java, Python, C++, or similar object-oriented programming languages.
- Familiarity with SQL, relational and non-relational databases.
- Proficiency in at least one scripting language (e.g., Python, Perl, Ruby, or shell scripting).
- Soft Skills: Ability to collaborate effectively with both technical and business teams.
Why Join Bungee Tech?
This internship offers an excellent opportunity to develop hands-on experience in data engineering while working in a dynamic, data-driven environment. You’ll gain valuable exposure to industry-standard tools and practices and collaborate on impactful projects remotely with a team focused on delivering insights that empower brands to thrive.
Apply now to contribute to innovative data solutions that shape customer experiences in the retail and brand sectors!