Position title Cloud Data Architect
Location : Bangalore Global Delivery Services
Cloud Data Architect in the IT Advisory Servicesteam to be part of the delivery of Data / Digital based projects for ourcustomers across the globe.
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.
We are looking for the candidates with the following :
BE / BTech / MCA with a sound industry experience of 10to 15 years
Mandatory skills :
Hands-on Azureexperience Azure Data Factory, Kafka, Hbase, Cassandra, Mongodb, AzureDatabricks Azure Cosmos DB,
Azure Data LakeStorage, Azure DataBricks
Preferred skills :
Data Warehousing, ETL,Hive, Flink,AWS,GCP
Experience working onCMMI / Agile / SAFE methodologies