Offers “Ernst & Young”

Expires soon Ernst & Young

PI4 Cloud Data_32_1/2/3

  • Internship
  • Bangalore (Bangalore Urban)

Job description



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

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