Azure data engineer
Fragma Data Systems
Bengaluru, Karnataka, India2h agovia LinkedIn
About the Role
The Azure Data Engineer will work on-site in Bengaluru in a full-time capacity, designing, building, and maintaining data solutions on Microsoft Azure. This role involves developing and optimizing data pipelines, ETL processes, and data models to ensure reliable, high-performance data flows for analytics and reporting. The engineer will collaborate with data analysts, business stakeholders, and application teams to understand requirements, translate them into scalable data architectures, and implement secure, well-governed data environments.
Key Responsibilities
- Designing, building, and maintaining data solutions on Microsoft Azure.
- Developing and optimizing data pipelines, ETL processes, and data models.
- Integrating diverse data sources.
- Monitoring and troubleshooting data workflows.
- Improving data quality.
- Contributing to best practices for data engineering across projects.
- Performance tuning.
- Cost optimization.
- Documentation of data solutions.
Requirements & Tech Stack
- Strong skills in Data Engineering, including building scalable data pipelines and integrating multiple data sources.
- Solid Data Modeling skills, covering conceptual, logical, and physical models for analytics and warehousing.
- Hands-on experience with Extract Transform Load (ETL) and Data Warehousing to design and operate robust data workflows.
- Proven Data Analytics skills to support reporting, dashboards, and insight generation for business teams.
- Experience with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL/SQL MI, Azure Blob/Data Lake) is highly beneficial.
- Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python or Scala) is preferred.
- Knowledge of big data frameworks and tools (e.g., Spark, Kafka, Hadoop ecosystem) and familiarity with real-time or batch processing is an advantage.
- Strong problem-solving abilities.
- Attention to detail.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.