
CodeZio - Azure Data Engineer - ETL
3 weeks ago
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)
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