- 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 to Cloud 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
Skills: lakehouse,google cloud,customer facing,agile,data engineer certification,jenkins,etl,media domain,influencing,on-premise to cloud migration,cloud implementations,communication,databricks,aws,data fabric,jira,git/bitbucket,azure data factory,snowflake,handling client proposal,data warehouse,architecting,aws certification,data mesh,maven/gradle,devops workflows,solution designing,data analytics,gcp certification,listening,azure certification,data governance,architecture patterns,data lake,architect certification,synapse,data architecture,telecom domain,azure,technology solutions
