Area(s) of responsibility
About Us
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities.
Roles and 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 and Develop the Data lake, Data warehouse using Azure Cloud Services
- Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- 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
- 11-14 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, Databricks, Python and SSIS)
- Worked with transactional, temporal, time series, and structured and unstructured data.
