Azure/Data Architect
4 weeks ago
Job Description :
- 15-18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
- Extensive experience working with large data sets with hands-on technology skills to design and build robust Data solutions using Spark framework, AWS/Azure/GCP data services and knowledge of Databricks, Snowflake and other tools & technologies.
- Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a data solution
- Extensive experience in data modeling and database design involving any combination of - Data warehousing and Business Intelligence systems and tools
- Relational and MPP database platforms like (Netezza/Teradata/Azure Synapse/AWS RedShift/GCP Big Query)
- Open source Hadoop stack/Spark framework
- Hands-on administration, configuration management, monitoring, performance tuning of spark based platforms
- Strong understanding of Data Analytics platforms and ETL in the context of large data sets, batch and streaming, structured, semi-structured and unstructured
- Ability to frame architectural decisions, provide technology leadership & direction
- Excellent problem solving, hands-on engineering skills and communication skills
- Broad understanding and experience of real-time analytics
- Participate in full Software Development Life Cycle (SDLC) of Data Solutions
- Good to have DBBOK/ Data Architecture/TOGAF certifications
- Exposure to AI/ML technologies
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Cloud Data Architect
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