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About the role
Role OverviewAs a Senior Data Engineer at Publicis Sapient, you will be responsible for translating client requirements into technical designs and implementing scalable data engineering solutions. Your primary focus will be on using Scala as the main programming language and building enterprisegrade data platforms on Azure. You will independently drive design discussions to ensure platform reliability, performance, and scalability. Key ResponsibilitiesData ingestion, integration, and transformationData storage and computation frameworks, performance optimizationAnalytics and visualizations enablementInfrastructure and cloud computing on AzureData management platformsBuild ingestion pipelines from multiple heterogeneous sources in batch and realtimeBuild scalable functionality for data analytics, search, and aggregationQualifications RequiredOverall experience of 49 years with minimum 2 years in Big Data/Data EngineeringStrong handson experience with Scala (primary) and Spark ecosystemStrong working knowledge of Azure services such as ADLS Gen2, Databricks, Synapse, ADF, Event HubsHandson experience with Hadoop stack HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, Hive, Oozie, AirflowExperience building realtime data pipelines is a strong advantageWorking knowledge of NoSQL and MPP platforms like HBase, MongoDB, Cassandra, Azure Synapse, Cosmos DBBachelors degree or equivalent practical experienceAdditional Company DetailsPublicis Sapient is a digital transformation partner that helps established organizations transition to their future, digitally enabled state. They specialize in fusing strategy, consulting, and customer experience with agile engineering and problemsolving creativity. With a global team of 20,000+ people in 53 offices worldwide, they focus on accelerating clients' businesses by designing products and services that customers truly value. .
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