- 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 Ecosystem 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 microbatches 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
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Must have good understanding of Advance Analytics Data Science AI & Machine Learning. Ability setup analytical sandbox one click deployment and environment provisioning.