Associate Architect - Data

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role : Associate Technical Architect - Data

Experience Level : 6 to 9 Years

Work location : Mumbai, Bangalore, Trivandrum

Role & Responsibilities :

• 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, and 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.
• 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 Reposting and Dashboarding and one or more toolsets 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 working in business transformation projects for the movement of On-Premise data solutions to Clouds like GCP / AWS / Azure.

Role :

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