Data Architect - Bengaluru, India - CIGNEX Datamatics
2 weeks ago
Description
Location :
Bangalore
Technology :
Azure Data Lake, Azure cloud using Azure Data factory/Synapse/Data bricks, NoSQL datastores
Work Location :
Bangalore
Required Skills:
Azure Data Lake, Azure cloud using Azure Data factory/Synapse/Data bricks, NoSQL datastores
Must have
- 10 + Years of exp in the Design and implementation of Data Integrations using MS Azure Cloud services
- Experience in Azure Data Lake including ADF/Databricks.
- Experience in CI/CD implementation for Azure Data Platform Services like ADF, ADB, Synapsis Analytics, Azure SQL DB etc.
- Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.
- Proven skills in designing, tuning & optimizing scalable, highly available distributed systems which can handle high data volumes.
- Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
- Extensive experience with version control systems like TFS / Git and their use in release management, branching, merging, and integration strategies.
- Handson experience in using build servers like Azure Build and Release Pipelines or Jenkins.
- Practical experience of using version control systems (Azure Repo preferred).
- Experience in monitoring, debugging, maintaining, and optimizing pipelines in Azure
- Experience in automation of pipeline alerts, failure recovery/restart, logging, and reporting KPIs of pipelines and Triggers
- Experience in scheduled triggers, link services, pipeline validations, 3rd party system/service integrations/connectivity etc.
- Experience in identifying and resolving recurring issues, envisioning, and implementing service improvements etc.
- Excellent Communication skills and experience in client facing roles
Good to have skills:
Knowledge on Azure Purview, Logic Apps, Functional Apps etc. Visualization tools - PowerBI and Tableau
Roles & Responsibilities:
- Work with DE Practice Lead and clients to understand business problems, industry context, data sources, potential risks, and constraints.
- Collaborate with Leadership provide meaningful and credible feedback on Data Engineering capabilities, data availability, and customer trend information.
- Actively mentor and coach the team and help them realize the best solution to a problem.
- Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams
- Provide best practice advice to customers and team members.
- Create an ecosystem that fosters innovation and encourages members of the CoE to build innovative solutions and publish papers/content in public domain.
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