Associate Technical Architect

2 months ago

Bengaluru, India Quantiphi Full time
Role: Associate Technical Architect - Data

Experience Level: 6 to 9 Years

Work location: Mumbai, Bangalore, Trivandrum (Hybrid)

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:

- 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, and monitor data quality, ensure production data is always accurate and available for key stakeholders and business processes that depend on it.- Work with the Pre-Sales team on RFPs, and RFIs and help them by creating solutions for data.- Mentor Young Talent within the Team and define and track their growth parameters.- Contribute to building Assets and Accelerators.

Other Skills:

- Strong Communication and Articulation Skills.- Good Leadership Skills.- Should be a good team player.- Good Analytical and Problem-solving skills.

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