Covet IT

1 day ago

Bengaluru, Karnataka, India COVET IT INC Full time

Description :

Title : Azure Data Engineer

Location : Bangalore, India (Hybrid Mode)

Type : Long Term Contract

Job Description :


- As an Azure Data Engineer, you will be responsible for designing and maintaining the data pipelines and infrastructure that power our platforms intelligence, traceability, and operational workflows.

- Youll work closely with software engineers, architects, and QA teams to ensure data integrity, accessibility, and performance across systems.

Job Responsibilities :


- Design, build, and maintain scalable data pipelines across internal and external data sources.

- Develop data ingestion frameworks to unify fragmented systems of record.

- Ensure both real-time and batch data processing capabilities for operational workflows and analytics.

- Collaborate with architects and product teams to define flexible, extensible data schemas for evolving structures.

- Implement data quality checks, lineage tracking, and schema versioning.

- Support the creation of a single source of truth with strong traceability and auditability.

- Work with AI/ML teams to ensure data availability and structure for agentic workflows and predictive models.

- Partner with QA and engineering teams to validate data flows and support testing strategies.

- Contribute to observability and monitoring of data infrastructure.

Required Skills :


- Strong experience in data engineering, ideally in fintech or private markets.

- Strong proficiency with Microsoft Azure data services, including:

- Azure Data Factory for building and orchestrating data pipelines.

- Azure SQL Database for data warehousing and analytics.

- Azure Data Lake Storage for scalable data storage.

- Azure Event Hubs, Service Bus, or Azure Functions for event-driven architectures and real-time data flows.

- Solid understanding of data modelling, schema design, and governance practices within Azure environments.

- Collaborative mindset with strong communication skills across technical and non-technical teams.

- Familiarity with Power BI for data visualization and reporting is a plus.

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