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Senior Data Engineer Duration: 12 MonthsLocation Ridgefield Park, NJ (Onsite)Summary:Top Skill Sets: SQL(Hive), Python, SparkBig Data Engineers serve as the backbone of the Strategic Analytics organization, ensuring both the reliability and applicability of the teams data products to the entire Samsung organization. They have extensive experience with ETL design, coding, and testing patterns as well as engineering software platforms and large-scale data infrastructures. Big Data Engineers have the capability to architect highly scalable end-to-end pipeline using different open source tools, including building and operationalizing high-performance algorithms.Big Data Engineers understand how to apply technologies to solve big data problems with expert knowledge in programming languages like Java, Python, Linux, PHP, Hive, Impala, and Spark. Extensive experience working with both 1) big data platforms and 2) real-time / streaming deliver of data is essential.Big data engineers implement complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable deliverables across customer-facing platforms. They have a strong aptitude to decide on the needed hardware and software design and can guide the development of such designs through both proof of concepts and complete implementations.Job Responsibilities Big Data Engineer:Translate complex functional and technical requirements into detailed design.Design for now and future successHadoop technical development and implementation.Loading from disparate data sets. by leveraging various big data technology e.g. KafkaPre-processing using Hive, Impala, Spark, and PigDesign and implement data modelingMaintain security and data privacy in an environment secured using Kerberos and LDAPHigh-speed querying using in-memory technologies such as Spark.Following and contributing best engineering practice for source control, release management, deployment etcProduction support, job scheduling/monitoring, ETL data quality, data freshness reportingSkills Required:5-8 years of experience writing complex SQL queries.4+ years of Python development experience5+ years of demonstrated technical proficiency with Hadoop and big data projects.3+ years of demonstrated experience and success in data modeling.Ability to automate and implement ETLs to reduce manual work.Fluent in writing shell scripts [bash, korn]Writing high-performance, reliable and maintainable code.Knowledge and ability to implement workflow/schedulers within Oozie.Experience working with AWS components.Analytical and problem-solving skills, applied to Big Data domain.Proven understanding and hands on experience with Hadoop, Hive, Presto and SparkGood aptitude in multi-threading and concurrency concepts.B.S. or M.S. in Computer Science or Engineering.