Job Description:
Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills,
Good to have: Python, Kafka( Realtime), Working Knowledge of Middleware,
Responsibilities:
- Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
- Design, develop and maintain the data ingestion and integration frameworks using Azure Cloud Services
- Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
- Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
- Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
- Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
- Support internal presentations to technical and business teams
- Provide technical guidance, mentoring and code review, design level technical best practices
Experience Needed:
- 9 -12 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
- Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
- Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
- Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
- Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
- Experience in Perform Design, Development & Deployment using Azure Services (Azure Synapse, Data Factory, Azure Data Lake Storage, Python)
- Worked with transactional, temporal, time series, and structured and unstructured data.
Notice: Immediate to 15 days
Shift: 2 to 11 PM
Mode of Work: Hybrid(Thrice in week)
Share resume at career@sunlitconsultants.com
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