Job Title : Azure Data Engineer
Location : Bangalore / Pune (On-site)
Employment Type : Full-time
Experience : 5-9 years
About the Role :
We are looking for an experienced Azure Data Engineer to design, build, and optimize large-scale data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Microsoft Azure data services, data modeling, and building high-performance data architectures to support analytics and business intelligence needs.
Key Responsibilities :
- Design and develop scalable, secure, and high-performance data pipelines and data integration workflows on Azure.
- Build and maintain data lakes, data warehouses, and real-time data streaming solutions.
- Implement ETL / ELT processes using Azure Data Factory, Databricks, or Synapse.
- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver actionable insights.
- Ensure data quality, governance, and security best practices are followed.
- Monitor and optimize data workloads for performance and cost efficiency.
- Work with DevOps and CI / CD practices for automated deployment of data solutions.
Required Skills & Qualifications :
5-9 years of experience in data engineering, with at least 3+ years in Azure ecosystem.Strong knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS).Hands-on experience in SQL, Python or Scala for data processing and transformation.Expertise in ETL / ELT design patterns, data modeling, and data warehousing concepts.Experience with big data technologies (Spark, Delta Lake) and real-time streaming (Event Hubs, Kafka).Knowledge of Azure DevOps, Git, and CI / CD pipelines.Familiarity with data governance, security, and compliance frameworks.Preferred Qualifications :
Experience with Power BI, Azure Machine Learning, or other analytics tools.Knowledge of other cloud platforms (AWS / GCP) is a plus.Azure certifications such as DP-203 : Data Engineering on Microsoft Azure or equivalent.Why Join Us :
Opportunity to work on cutting-edge cloud data projects.Competitive salary and performance-based incentives.Collaborative, growth-oriented team environment.(ref : hirist.tech)