Data Architect

Req ID 74028 | Hyderabad, India, ZF India Pvt. Ltd.

• Architect & Design patterns for Data ingestion and processing Pipelines with their respective systems into the Data Lake environment to Support & maintain data pipelines ensuring quality of implementation.
• Operate in a Data as a Product and Data Product management mindset and Deliver solutions in Agile working methodology.
• Lead Data Engineering efforts required during Data pipeline, storage & architecture 
• Experience building data lakes & data warehouses to support operational intelligence and business intelligence. Experience automating infrastructure provisioning, DevOps, or Continuous Integration/Delivery. Work with a degree of independence on projects
• Analyze complex datasets and cleanse data. Advise/consult to other parties on best practice regarding data integration and modelling
• Lead the initiatives / activities related to AI / GenAI  applications in the Data Engineering/management areas 
• Lead the initiatives / activities related to Semantic Technologies or Knowledge Graphs 

Profile :

• Overall IT experience of close to 10+ years with Good experience of 4+ Years as an architect on cloud platform for example Azure platform services, like Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Python and Pyspark
• Strong experience working with multi-national, cross-functional teams with excellent business communication skills.Experience working with Serverless Computing & Azure Functions.
• Experience automating infrastructure provisioning, DevOps, or Continuous Integration/Delivery. Good understanding and/or experience writing software in one or more languages, such as python.
• Experience in responsibility for the data solutions right through the life cycle, from design and development through to service transition and support. Experience Working on ITIL and / or agile methodologies
• Knowledge of dealing with IoT, Event Hubs, Kafka and/or other event streaming mechanisms. Practical experience with Power BI and DAX will be an advantage. Experience building data lakes & data warehouses to support operational intelligence and business intelligence
• Experience in leading the initiatives / activities related to AI / GenAI  applications in the Data Engineering/management areas and Knowledge Graphs could be an added advantage