Job Location: Bangalore/Bengaluru
Technical skills:
- Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.
- Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.
- Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.
- Understands industry recognised data modelling patterns and standards
- Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.
- Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)
- Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
- Expertise in cloud security and identity best practices
- A deep understanding of ETL and ELT tools and techniques
- Strong experience in architecting fit-for-purpose and fit-for-use complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS]
- Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.)
- Hands-on work experience on application platforms like .Net, Python, Java etc. preferred
- Understanding of big data platforms concepts and NoSQL technologies, and ability to map such
- The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines.
- Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches.
- Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Key Accountability:
- Conduct the most complex research using readily available internal and external sources.
- Design and develop complex analytical modeling tools and system.
- Conduct the most complex analysis requiring general understanding of data management and analytics data design principles, concepts, and practices.
- Independently handle complex issues with minimal supervision.
Personal skills:
- A great team player, with the ability to perfectly integrate and play a pivotal role in a team that includes also data scientists, data engineers and data analysts
- Able to appreciate short term vs. long term goals and take both tactical and strategic decisions
- Great communication skills, ability to communicate complex technical concepts to a non-technical audience
- Strong organizational skills, the ideal candidate has the ability to work in a fast-paced environment and has the ability to quickly adapt to changing priorities
- Stays on top of the latest trends and develops expertise in emerging cloud technologies
- Works well as a technical leader and individual contributor.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Guide the development of an Agile data development experience, when required using DW automation tools.
- Assist the project team in planning and execution to achieve daily and sprint goals.
- Articulate documentation of project artefacts and deliverables.
- Identifies and communicates risks clearly to the Product owner and the team.
- Education of customer on how the technology recommendation/solution planned will fulfil the customer expressed needs
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