Data Architect (Google Big Query)
- 15+ years of IT Industry experience
- 10 plus years of hands on development experience in areas of Data Warehouse and Data Lake using industry standard tools and technology
- Must have good technical expertise on Google Cloud- Data Eco-system like Big Query, DataProc and DataFlow.
- Must have ETL / ELT / Data acquisition / data ingestion development and architecture experience
- Must have good understanding of realtime streaming, API / microservices based data ingestion. Development experience in Kafka and data flow is desired. Ability to ingestion data for full load/ CDC/ and micro-batches for structured & unstructured data.
- It is essential that candidate has good experience in CICD/ DevOps and Github integration, release management, production deployment and agile development process.
- 2+ years of experience in SAP S3/ S4 HANA will is desired. Good understanding of HR, Finance, Supply chain or utility domain knowledge is desired by not mandatory.
- 5 plus years of experience in leading data modeling, data architecture for data lake/ Data Warehouse is necessary
- Must have good understanding of Advance Analytics, Data Science, AI & Machine Learning. Ability setup analytical sandbox, one click deployment and environment provisioning.