Data Engineer (Pune)

Data Engineer (Pune)

13 Aug
|
Weekday AI
|
Pune

13 Aug

Weekday AI

Pune

Description
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 robust 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.

Requirements
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.
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📌 Data Engineer (Pune)
🏢 Weekday AI
📍 Pune

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