PI4 Cloud Data_32_1/2/3
Ernst & Young Global Limited
Bangalore, Karnataka, India
12h ago

Position title Cloud Data Architect

Location : Bangalore Global Delivery Services

Jobpurpose :

Cloud Data Architect in the IT Advisory Servicesteam to be part of the delivery of Data / Digital based projects for ourcustomers across the globe.

TechnicalResponsibilities :

  • Big data Engineer with 10 to 15 years of ITexperience including 5 to 7 years in Big Data and Analytics field,developing E2E Data pipelines to perform batch and Real - Time / Streamanalytics on structured and unstructured data on Azure.
  • Expertise indesigning scalable Big Data solutions, data warehouse models on large-scaledistributed data, performing wide range of analytics on Events Ingestion,Storage and processing on Azure.
  • Expertise in building solutions using Cosmosdb , Azure Data Lake, Azure Storage, Azure Databricks(Spark , and SparkStreaming),
  • Experience in Big Data Analytics and design inHadoop ecosystem using Spark / Spark Streaming, Kafka.
  • Solid understanding of data processing patterns,distributed computing and in building applications for real-time and batchanalytics.
  • Strong programming skills in design and implementationusing Python, Scala and PySpark
  • Hands on DataIngress, Egress, Processing using Kafka, Azure Data Factory , Azuredata Lake, Azure Databricks(Spark / Streaming).
  • Goodknowledge on NoSQL Data bases such as HBase, Cassandra, MongoDB,Redis and usingSPARK streaming for real time stream processing of data into the cluster.
  • Experience with multiple Hadoop file formats like Avro, Parquet, ORC, and JSON etc.
  • Developing, constructing, testing and maintainingarchitectures for data lakes, data pipeline, data warehouses and large-scaledata processing systems on Azure.
  • Leading data platform team members or equivalentthrough technical design, and implementation of solutions.
  • Requirements(Qualifications)

    We are looking for the candidates with the following :

  • BE / BTech / MCA with a sound industry experience of 10to 15 years
  • Mandatory skills :

  • Spark, Scala,PySpark,Python,Java
  • Hands-on Azureexperience Azure Data Factory, Kafka, Hbase, Cassandra, Mongodb, AzureDatabricks Azure Cosmos DB,
  • Azure KubernetesService,
  • Azure Data LakeStorage, Azure DataBricks
  • Azure Dataricks
  • Preferred skills :

  • Data Warehousing, ETL,Hive, Flink,AWS,GCP
  • Experience working onCMMI / Agile / SAFE methodologies
  • Apply
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