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Data Science Research Assistant Ajmer (India)

SIAW-HSG | Universität St. Gallen

Ajmer, Rajasthan, India
Full-Time
Posted 1 month ago

Job Description & Responsibilities

Swiss Institute for International Economics and Applied Economic Research (SIAW-HSG)

Data Science Research Assistant / Data Lake Engineer (m/f/d)

Data Science Research Assistant / Data Lake Engineer (m/f/d)

70 % (limited, by 01.08.2026)

Your tasks

Responsibilities And Project

The position supports the development of a research data lake for empirical work with large-scale financial, textual, licensed, and partly confidential datasets. The objective is to build a robust, well-documented, and reproducible data infrastructure that allows researchers to ingest, store, process, document, and analyze data efficiently and securely.

Research And Infrastructure Tasks Will Include Data Engineering, Coding, Documentation, And Coordination With Researchers And IT/platform Providers. Core Tasks Include, Among Others

Design and implementation of the research data lake

Support the design of a scalable data architecture for approximately 5 TB of research data

Structure data into raw, cleaned, and analysis-ready layers

Develop explicit naming conventions, folder structures, access rules, and documentation standards

Ensure that the data lake supports long-term retention of raw and processed data

Data ingestion and integration

Build automated workflows to import data from external providers, databases, APIs, file deliveries, and researcher-maintained sources

Integrate financial datasets, textual datasets, and other licensed research data into a consistent infrastructure

Implement validation checks, logging, error handling, and version control for data updates

Document data provenance, licenses, update frequencies, and usage restrictions

Automation of research pipelines

Develop reproducible pipelines for cleaning, transforming, and preparing datasets for empirical research

Create reusable scripts and templates for recurring data tasks

Support researchers in converting manual data work into automated and documented workflows

Contribute to reproducible research practices throug

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience00 years
Positions1

Posted by

N/A

Posted on:

22 Jul 2026

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