Data Engineer

Overview

We are seeking a highly skilled Python and PySpark Developer who is passionate about building robust data solutions from the ground up. The ideal candidate should have a deep understanding of core programming concepts, be highly proficient in Python and PySpark, and possess strong SQL skills. We're looking for someone who thinks out of the box, understands the value of reusable and scalable solutions, and is comfortable working in dynamic, rapid-paced environments.

Experience with Databricks and Azure Data Factory (ADF) is needed.

Responsibilities

- Design, develop, and maintain Python and PySpark.
- Write complex SQL queries for data transformation, validation, and analysis.
- Build scalable, reusable code frameworks with a dynamic and modular mindset.
- Develop solutions from scratch with clean, well-documented code.
- Optimize and refactor existing code for better performance and scalability.
- Collaborate closely with data engineers, analysts, and business stakeholders to deliver impactful solutions.
- Implement best practices in data engineering, coding standards, and deployment.
- Work with Databricks and ADF to orchestrate and manage data workflows.

📌 Data Engineer (Indore)
🏢 InfoBeans
📍 Indore