AWS Data Engineer

AWS Data EngineerThe AWS Data Engineer designs and develops scalable data solutions using data integration tools and technologies. Being Data Engineer utilizes big data computation, data platforms and storage tools to create prototype and data products. Conduct build and testing of data pipelines and solutions. Additionally, Data Engineer integrates, tests data pipelines with Advance Analytics and AI platforms. Must be proficient with multiple data engineering and integration tools such as Python, Informatica IICS, Spark, Dynamo DB etc. in the AWS environment.The data engineer builds high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions.Responsibilities:Design, develop, optimize, and maintain data architecture and pipelines that adhere to data integration principles and business goalsSolve complex data problems to deliver insights that helps our business to achieve their goalsCreate data products for analytics and data scientist team members to improve their productivityCode, test, and document new or modified data systems to create robust and scalable applications for data analyticsEnsure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the companyEnable big data and batch/real-time analytical solutions that leverage emerging technologiesFoster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutionsLead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a teamDevelop and deliver communication and education plans on analytic data engineering capabilities, standards, and processesWork with Data Science practitioners and developers to make sure that all data solutions are consistentPartner with Business Analysts and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.Ensure all automated processes preserve data by managing the alignment of data availability and integration processesInteract with business clients, understand business requirements, propose and deliver data solutions to meet the business requirements.The data engineer builds high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions.Knowledge & Experience:Bachelor of Science in Computer Science, Engineering, Mathematics, Statistics or related subject3-5 years of experience in Data platforms and technologies in AWS Cloud environment such as Spark, Informatica IICS, Redshift, Postgres, Dynamo DB, Neptune DB, EMR, Glue, Kafka.Expertise in SQL and data analysis and experience with Python and other programming languagesExperience developing and maintaining data warehouses in big data solutionsExperience with BI tools such as Tableau, Power BIConceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, etc.Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematicsDemonstrated experience with agile or other rapid development methodsExcellent problem solving, critical thinking, quick learning and communication skillsPassion for innovation and "can do" attitude to thrive in a fast-paced environmentAdditional QualificationsExpertise in AI, Advanced Analytics and Machine Learning technologies is a plusLife insurance industry domain experience is a plus.Front-end software development experience is a plusRequired Skills : 1. AWS Data exp (Glue, DynamoDB) 2. Data warehouse/Data lake exp 3. Spark/PySpark exp Basic Qualification : Additional Skills : Background Check :YesDrug Screen :YesNotes :Candidates will need to convert after 6 months. This is a contract to hire role, and the client does not provide any form of visa sponsorship.