Senior Data Engineer

About the RoleDesign and implement data engineering solutions by translating requirements into technical designs and building scalable data pipelines.Work across data integration, big data, analytics, cloud infrastructure, and data management platforms.Roles & ResponsibilitiesTranslate client requirements into technical designs and implement data engineering solutions.Design and implement data integration and big data solutions.Build data ingestion, integration, and transformation functionality from heterogeneous sources in batch and real time.Work with data storage and computation frameworks and optimize performance.Build functionality for data analytics, search, and aggregation.Work with analytics and visualization solutions.Support infrastructure, cloud computing, and data management platforms.Key SkillsHadoop ecosystem: HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Hive, Oozie, AirflowJava, Scala, or PythonNoSQL/MPP platforms: HBase, MongoDB, Cassandra, AWS Redshift, Azure SQL DW, GCP BigQueryAWS data platform servicesBatch and real-time data pipelinesNice to HaveInformatica, Talend, Oracle, MySQL, SQL Server, PostgreSQLData governance, security, lineage, and catalog tools such as Collibra and AlationActiveMQ, RabbitMQ, Solace, search/indexing, and microservicesData pipeline performance tuning and optimizationCloud data and Big Data certificationsBenefits (W2)Health insuranceHealth savings accountDental insuranceVision insuranceFlexible spending accountsLife insuranceRetirement planEEO StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.