· 12+ years of experience in Data Analytics spread across on-premise & cloud implementations
· Experience in one of the cloud platforms – Google Cloud, Azure, AWS or Snowflake (with AWS/Azure)
· Has experience in handling client proposal (RFP) responses and its defense
· Experience in solution designing in Data Warehouse, ETL, Data Lake, Lakehouse, Architecting, planning and Implementation of end-to-end Data Architecture & on-premise toCloud migration
· Has knowledge and experience of Architecture patterns like Data Mesh & Data Fabric, Data Governance
· Strong customer facing experience. Ability to present and defend technology solutions to Stakeholders (Architects and Business stakeholders)
· Excellent communication, listening, and influencing skills
· Experienced in AGILE, DevOps workflows including tools like Git/Bitbucket, Jira, Jenkins, Maven/Gradle etc.
· Architect / Data Engineer certification on either of AWS, Azure or GCP would be an added advantage
· Telecom or Media domain experience will be an added advantage
Any 1 Cloud experience:
· Experience in building data solutions leveraging Cloud services in any of following:
o GCP:
§ services such as BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud Composer, dataproc
o Azure:
§ services including ADLS, Databricks, Delta Lake, Azure Data Factory, Event Hub, Synapse, Azure DevOps, Microsoft Fabric
