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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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Use Azure Databricks for big data processing and analytics. Leverage Azure Data Factory and Azure Databricks for data integration and ETL processes. Azure Data Factory, Azure DataBricks, Python experience is a plus.
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Experience working with big data technologies and ETLs like Spark, S3, and Redshift. Our company puts user privacy first, and doesn't sell data or use third-party ad networks. Experience completing product iterations based on insights from data.
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What youll do:You will be a Sr. Data Engineer in a horizontal Dev Engineering team that includes onshore and offshore developers using best-in-class Google Cloud, Big Data, and relational Data warehouse technologies, including Informatica Big Query, IICS, Talend, Teradata, Python, etc.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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Proven experience in data engineering, data visualization, and big data processing. oProficiently design, develop, and maintain data pipelines using the Palantir Foundry tool suite, including apps like Slate, Workshop, Contour, Taurus, Ontology Manager, Object View, and Report.
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5+ years of experience in data engineering, data warehousing, business intelligence, ETL on databases such as Oracle or SQL Server, Snowflake, and/or big data is required. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SSIS packages, and Dell Boomi.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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The Big Data platform supports operational real-time event-based processing and compute applications as well as analytics consumption use cases including machine/deep learning. 10+ years of experience in Hadoop/big data technologies.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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We have an urgent requirement for Big Data Engineer at Iselin, N (Hybrid) location. Minimum of 3 years of professional experience in data engineering, working with Java, Python, Spark, and big data technologies.
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Also desirable would be direct experience working with external financial market data vendors like Bloomberg, IDC, S&P, Reuters, & FACTSET. Exposure to Sterling Integrator and Autosys would be a big plus.
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Has experience utilizing data warehouse technologies, Middleware technologies, MDM, big data tools including Hadoop and Spark eco system, including tools like Python/Scala. Experience with design of traditional data warehouse and Big Data Systems which requires queries returning within sub-second response times.
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big data jobs Title: developer
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