Description

You will design and build enterprise data solutions, leading architecture, ETL development, and BI implementation across Azure and cloud ecosystems.

This role is hybrid.

Responsibilities

• Lead technical discovery and design logical/physical data models, database structures, and detailed technical specifications.
• Develop and maintain data pipelines using Azure Data Factory, Databricks, and Spark, ensuring robust CI/CD and DevSecOps practices.
• Design and administer Power BI reporting, dashboards, and data visualization with row-level security and complex data transformations.
• Translate business requirements into technical solutions, partnering with stakeholders and product managers to define delivery commitments.
• Evaluate and improve data processes, identifying opportunities to automate deliverables and enhance platform capabilities.

Required Skills

• 9+ years of experience in data functions, database design, and ETL development.
• 5-7 years of hands-on experience with Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure data ecosystems.
• Strong development experience with Snowflake, Azure SQL DW, or Big Query.
• Proficiency in Spark SQL, Hive SQL, USQL, Spark, Scala, and Python.
• Experience creating frameworks for data pipelines and configuring data streams between Event Hub, Azure Service Bus, and other integration systems.
• Knowledge of cloud migration methodologies and tools like Azure Data Migration Service, SSIS, Attunity, Kafka, and Event Hub.
• Experience with data mining techniques, classification, regression, clustering, and machine learning approaches.
• Strong SQL skills, query optimization, and understanding of Enterprise Data Architectures including Data Warehousing and Dimensional Models.

Preferred Skills

• Experience with Azure Analysis Services, Azure Data Lake, HD Insights, CosmosDB, and Azure Stream Analytics.
• Proficiency in Java or Python programming languages.

Key Skills

Education

Any Graduate