Data Warehouse Engineer
- Pando
- 2 - 5 years
- Chennai
- 16 days ago
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Job Description
Job_Description":" Pando is a global leader insupply chain technology, building the worlds quickest time-to-valueFulfillment Cloud platform. Pandou2019s Fulfillment Cloud providesmanufacturers, retailers, and 3PLs with a single pane of glass tostreamline end-to-end purchase order fulfillment and customer order fulfillmentto improve service levels, reduce carbon footprint, and bring down costs.As a partner of choice for Fortune 500 enterprises globally, with apresence across APAC, the Middle East, and the US, Pando is recognized as aTechnology Pioneer by the World Economic Forum (WEF), and as one of thefastest growing technology companies by Deloitte. Role Overview
As a Junior Data WarehouseEngineer at Pando, youu2019ll work within the Data & AI Services team tosupport the design, development, and maintenance of data pipelines andwarehouse solutions. Youll collaborate with senior engineers andcross-functional teams to help deliver high-quality analytics and reportingsolutions that power key business decisions. This is an excellent opportunityto grow your career by learning from experienced professionals and gaininghands-on experience with large-scale data systems and supply chaintechnologies.
Key Responsibilities
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- 2u20134 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.
- Experience working with cloud platforms (e.g., AWS, Azure, or GCP).
- 2u20134 years of experience working with data engineering or ETL tools (e.g., PySpark, SQL, Airflow).
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: DBA / Data warehousing - OtherEmployement Type: Full timeContact Details:
Company: PandoLocation(s): Chennai+ View Contact
Keyskills: Supply chain Data modeling GCP Schema Cloud OLAP Data warehousing Analytics SQL Logistics
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Pando is a global leader in supply chain technology, building the world's quickest time-to-value Fulfillment Cloud platform. Pandos Fulfillment Cloud provides manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order fulfillment and customer order f...
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