- 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
- Experience in building data solutions leveraging Cloud services in any of following:
- GCP:
- services such as BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud Composer, dataproc
- Azure:
- services including ADLS, Databricks, Delta Lake, Azure Data Factory, Event Hub, Synapse, Azure DevOps, Microsoft Fabric
Skills: lakehouse,google cloud,customer facing,agile,devops,maven,delta lake,cloud migration,jenkins,adls,etl,media domain,gcs,adb,azure devops,bitbucket,cloud pub/sub,event hub,databricks,aws,adf (azure data factory),data fabric,gradle,jira,azure data factory,snowflake,data warehouse,architecting,aws certification,data mesh,dataproc,data analytics,gcp certification,azure certification,data governance,architecture patterns,cloud dataflow,data lake,git,bigquery,microsoft fabric,synapse,data architecture,telecom domain,cloud composer,azure
