Description

You design and implement scalable data architectures on Azure Cloud.

This role is hybrid.

Responsibilities

• Develop end-to-end data pipelines managing movement from ingestion to consumption.
• Orchestrate and optimize data workflows using Azure Data Factory and Azure Databricks.
• Design and implement data models supporting business requirements and efficient querying.
• Integrate diverse data sources into a unified platform ensuring data consistency.
• Monitor data pipeline performance and resolve bottlenecks.

Required Skills

• 9+ years of experience as a Data Engineer with a focus on Azure Cloud technologies.
• In-depth knowledge of Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage.
• Strong proficiency in SQL, including writing complex queries and optimizing database performance.
• Hands-on experience with SSIS for ETL development and integration.
• Experience implementing ETL and data exchanges using SSIS, Azure Data Factory, Synapse Spark, and Databricks.
• Knowledge of RDBMS, Data Lake concepts, and data warehousing architecture.
• Experience working with large volumes of structured and unstructured data.
• Familiarity with data security, compliance, and governance practices.

Preferred Skills

• Any Graduate degree or equivalent experience.

Key Skills

Education

Any Graduate