Job Description

Job Information

Date Opened

07/07/2025

Job Type

Full time

Industry

Software Product

City

Chennai

State/Province

Tamil Nadu

Country

India

Zip/Postal Code

600017

Pando is a global leader in supply chain technology, building the world's quickest time-to-value Fulfillment Cloud platform. Pando's Fulfillment Cloud provides manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order fulfillment and customer order fulfillment to improve service levels, reduce carbon footprint, and bring down costs. As a partner of choice for Fortune 500 enterprises globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a Technology Pioneer by the World Economic Forum (WEF), and as one of the fastest growing technology companies by Deloitte.

Role Overview

As a Junior Data Warehouse Engineer at Pando, you'll work within the Data & AI Services team to support the design, development, and maintenance of data pipelines and warehouse solutions. You'll collaborate with senior engineers and cross-functional teams to help deliver high-quality analytics and reporting solutions that power key business decisions. This is an excellent opportunity to grow your career by learning from experienced professionals and gaining hands-on experience with large-scale data systems and supply chain technologies.

Key Responsibilities

Assist in building and maintaining scalable data pipelines using tools like PySpark and SQL-based ETL processes. Support the development and maintenance of data models for dashboards, analytics, and reporting. Help manage parquet-based data lakes and ensure data consistency and quality. Write optimized SQL queries for OLAP database systems and support data integration efforts. Collaborate with team members to understand business data requirements and translate them into technical implementations. Document workflows, data schemas, and data definitions for internal use. Participate in code reviews, team meetings, and training sessions to continuously improve your skills

Requirements

2-4 years of experience working with data engineering or ETL tools (e.g., PySpark, SQL, Airflow). Solid understanding of SQL and basic experience with OLAP or data warehouse systems. Exposure to data lakes, preferably using Parquet format. Understanding of basic data modeling principles (e.g., star/snowflake schema). Good problem-solving skills and a willingness to learn and adapt. Ability to work effectively in a collaborative, fast-paced team environment.

Preferred Qualifications

Experience working with cloud platforms (e.g., AWS, Azure, or GCP). Exposure to low-code data tools or modular ETL frameworks. Interest or prior experience in the supply chain or logistics domain. * Familiarity with dashboarding tools like Power BI, Looker, or Tableau.