This role is for one of the Weekday's clients
Salary range: Rs 1300000 - Rs 2600000 (ie INR 13-26 LPA)
Experience: 5+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-Time
We are seeking an experienced Azure Databricks Engineer to design, develop, and optimize scalable cloud-based data engineering solutions. This role is ideal for professionals with solid expertise in Azure Databricks, SQL, and ETL development, who are passionate about building high-performance data pipelines and enabling data-driven business decisions.
As an Azure Databricks Engineer, you will work closely with data architects, analysts, and cross-functional teams to develop robust ETL workflows, optimize data processing, and ensure reliable data availability for analytics and reporting. You will play a key role in modernizing data platforms, improving pipeline performance, and implementing best practices for cloud-based data engineering.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and cloud-native technologies.
Build and optimize data ingestion,



transformation, and processing workflows for structured and semi-structured data.
Develop complex SQL queries, stored procedures, and data transformation logic to support reporting and analytics.
Collaborate with business stakeholders, data architects, and analytics teams to understand data requirements and deliver scalable solutions.
Optimize Azure Databricks workloads for performance, scalability, and cost efficiency.
Implement data quality checks, validation processes, and monitoring to ensure data accuracy and reliability.
Troubleshoot data pipeline failures, resolve performance bottlenecks, and support production environments.
Integrate data from multiple sources while ensuring consistency, governance, and security standards.
Participate in data modeling, documentation, and continuous improvement initiatives across the data platform.
Follow best practices for version control, deployment, t

📌 Data Engineer (Pune)
🏢 Weekday AI
📍 Pune