Job Description :

- Design and implement end-to-end data solutions (storage, ingestion, integration, processing, serving, visualization) in Azure

- Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL, NoSQL DBs

- Migrate data from traditional database systems (such as Teradata) to Azure databases

- Strong experience on data engineering and data management practices on big data platforms like Spark, Kafka, Databricks, Synapse etc

- Architect and implement ETL and data movement solutions using Azure Data Factory, SSIS

- Design and implement streaming solutions using Kafka or Azure Stream Analytics

- Design and develop data visualizations in Power BI

- Prepare documentation and architectural designs

- Propose architectures that consider cost/spend in Azure and develop recommendations to right-size Azure data infrastructure

- Design & implement data security and governance policies and standards

- Experience with Data fabric and data virtualization architectures

- Strong articulation and presentation skills in including illustrations and technical solution diagrams

Qualifications :

- Bachelor's degree in Computer Science, Software Engineering, or equivalent combination of education and experience.

- Total 12 + yrs of IT experience in ETL /Big Data Technologies

- 3-5 years experience with Azure storage solutions such as Azure Storage, Azure Storage Disks, and Azure Files

- 1-3 years experience with tools such as Databricks (Lakehouse), Snowflake, etc.

- Strong Understanding of/experience with streaming solutions such as Kafka and Azure Stream Analytics

- Solid understanding of/experience with Microsoft SQL Server and related technologies

- Strong understanding of Azure solutions outside of the Azure storage and data platforms

- Good understanding of Azure non-relational data solutions such as Azure Cosmos D

- Good understanding of data security and governance standard

- Basic understanding of AI/ML approaches leveraging data on Azure