- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business 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 tool sets 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.

- Good 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.

- Good understanding of BI Reporting and Dashboarding and one or more tool sets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.

- Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.

- Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.

- Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.

- Be a thought leader in architecture design and development of cloud data analytics solutions.

- Liaison with internal and external stakeholders to design optimized data analytics solutions.

- Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers.

- Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs.

- Lead discovery and design workshops with potential customers across the globe.

- Design and deliver thought leadership webinars and tech talks alongside customers and partners.

- Identify areas for productization and feature enhancement for Quantiphis product assets.

Role :

- Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.

- Interface with multiple stakeholders within IT and business to understand the data requirements.

- Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.

- Responsible for design and development of distributed, high volume multi-thread batch, real time, and event processing systems.

- Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

- Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.

- Mentor young Talent within the Team, Define and track their growth parameters.

- Contribute to building Assets and Accelerators.