Associate Architect - Data

6 - 10 years

18 - 33 Lacs

bengaluru mumbai (all areas)

Posted:2 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role:

Experience Level:

Work location:

Notice period:

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 GCP Cloud.
  • 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,
  • 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 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 GCP cloud.

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