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Azure Data Engineer
2 months ago
Join Our Team as an Azure Data Engineer
We’re looking for an experienced Azure Data Engineer with 5+ years of expertise in building scalable data platforms using Microsoft BI and Azure technologies. If you thrive in a fast-paced environment, have a passion for solving complex data problems, and enjoy collaborating with business teams, this could be the perfect opportunity for you
Location: Pune, India
Type: Full-Time
Experience: 5+ years
Key Responsibilities:
- Develop and maintain scalable data pipelines that process and transform data from various sources.
- Collaborate with business teams to design data models that power business intelligence tools and foster data-driven decision-making.
- Implement processes to monitor data quality, ensuring accuracy and availability for business stakeholders.
- Translate technical insights into simple, actionable solutions for non-technical stakeholders.
- Mentor and coach junior team members.
- Troubleshoot and resolve complex data-related issues.
Required Skills & Experience:
- 5–8 years of experience in building data platforms using Microsoft BI and Azure technologies .
- Strong expertise in SQL , complex queries, stored procedures, and performance tuning.
- Hands-on experience with Azure Data Factory , Azure Synapse Analytics , Azure Data Lake , and Azure Blob Storage .
- Proficient in Databricks , Python , and PySpark .
- Understanding of tabular models using Azure Analysis Services.
- Power BI knowledge is a plus
- Solid experience in data warehouse design and end-to-end implementation.
- Familiar with Agile methodologies (Scrum, Sprint planning).
Qualifications:
- BS or MS degree in Computer Science or a related technical field.
Why Join Us?
- Work on cutting-edge data solutions that drive business impact.
- Collaborate with a dynamic team of professionals in a fast-paced environment.
- Contribute to innovative projects that transform data into insights.
Ready to take your Azure Data Engineering career to the next level? Apply today and be a part of a data-driven future
Apply now via LinkedIn or send your resume to