Jr Data Engineer

This role involves designing and maintaining data systems that process and store large datasets. The candidate will work on data pipelines, data modeling, and infrastructure to support data analysis and reporting. They will collaborate with cross-functional teams to ensure data solutions meet business needs.

Summarised by InternDoor from algoleap’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Builds data pipelines for data ingestion and transformation
• Uses cloud platforms and tools like Kafka and Spark
• Works with data lakes and warehouses for scalable solutions

Experience

2 years

What the posting states about who can apply. Read the posting for its full list.

1. Check what they ask for. Read the requirements above: algoleap asks for 2 years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on algoleap’s careers site. The application is on careers.algoleap.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

22 Oct 2026, on LinkedIn; re-posted 12 Nov 2026

First seen by InternDoor

12 Nov 2026

Last checked

12 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

algoleap has not stated one

Leaves InternDoor

By 12 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

careers.algoleap.com

What we checked, and what the dates mean

LinkedIn showed this posting as new on 12 Nov 2026, but its posting number dates it to around 22 Oct 2026: LinkedIn re-posts a role it still carries, and the earlier date is the one shown here.

The date this listing leaves InternDoor is our own rule, not a deadline set by algoleap. Postings can close earlier, at any time.

This is the first algoleap posting InternDoor has recorded in India.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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