- More than 15 years of experience in Technical, Solutioning, and Analytical roles.
- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Busines Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure)
- Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.
- Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
- Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
- Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
- Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc.




- Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
- Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
- Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.
- Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.
- Valuable understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.
- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.
- Go

📌 Architect - DE (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai