Roles and Responsibilities

- Design, develop, and maintain large-scale data pipelines using Azure Databricks, Python, and Data Factory.

- Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.

- Develop complex SQL queries to extract insights from massive datasets stored in Azure Blob Storage.

- Implement data quality checks and validation processes to ensure accuracy and integrity of the data.

- Troubleshoot issues related to pipeline failures or errors in real-time.

Desired Candidate Profile

- 9-14 years of experience as a Data Engineer with expertise in Azure Databricks, Python, and Data Factory.

- Solid understanding of big data technologies such as Hadoop Distributed File System (HDFS), Apache Spark, etc. .

- Experience working with cloud-based platforms like AWS or GCP is an added advantage.

- Proficiency in writing complex SQL queries for querying large datasets stored in Azure Blob Storage.

📌 Data Engineer (Pune)
🏢 Hexaware Technologies
📍 Pune