Data Architect

Job highlights

• Build GTM and Demo environments for the solutions . Should have worked on product development providing the Business Solution

• . 10-12 Years working experience on RDBMS & NoSQL,Big Data,Databricks,Snowflake,Kafka,Spark SQL,GIT,Reporting Tools,Cloud Technologies - Azure,AWS,Data Modelling

• 10-12 Years working experience on RDBMS & NoSQL, Big Data, Databricks, Snowflake, Kafka, Spark SQL, GIT, Reporting Tools, Cloud Technologies - Azure, AWS, Data Modelling.

• Working with Technical Architects and UX Designers come out with end-to-end Business solutions to build data platforms on Azure, AWS, GCP.

• Design and build scalable systems on Cloud Technologies and data Governance.

• Work on projects ingesting large amount of diverse data streams and organize them into database (experience with Kafka etc. are highly valued).

• Knowledge of Development, Automation or DevOps space and Infrastructure and Docker container management.

• Analysing ETL or ELT mapping logic and writing complex SQL queries to recreate logic.

• Build custom python integrations and plugins to support automation and business functions.

• Create Cl/CD pipelines for Azure infrastructure, configuration and app deployments.

• Demonstrate excellent customer facing skills.

• Actively participate/ contribute in organization s priority/ road map definition exercise with respect to technology-led business solutions

• Overarching responsibility to provide latest updates across multiple tracks/ projects within a roadmap to Executive Management in Organization. Actively interface with business stakeholders, and work with/ guide technology teams in Agile.

• Build GTM and Demo environments for the solutions

• Should have worked on product development providing the Business Solution.