Quantiphi Analytics Solutions Pvt. Ltd. | Jobs | Data Engineer | BigDataKB.com | 27-03-22

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    Job Location: Mumbai

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

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