remote jobs data engineer

Data Engineer

Title: Senior Data EngineerLocation: Dallas, TXDuration: 6+ Months
Need Someone Local who can go for F2F Interview
Job Description:       As the data engineer you will be responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You will support software developers, data architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. RESPONSIBILITIES Develop, construct, test and maintain data platforms and pipelines including enterprise data warehouses and data martsAssemble large, complex data sets that meet functional / non-functional business requirements.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.Develop data set processes for data modeling, mining, and productionContinuously improve data reliability, efficiency and quality REQUIREMENTS 3+ years of experience working on large scale, full lifecycle data implementation projectsBS/BA in data engineering, software engineering, data science, computer science, applied mathematics, or equivalent experienceA deep knowledge of performant SQL and understanding of relational database technologyHands-on RDBMS experience (data modeling, analysis, programming, stored procedures)Expertise in developing ETL/ELT workflows with one or more of the following: Talend/Informatica/InfoSphere ETL tools; Python, JavaDeployment of data pipelines in the Cloud in at least AWS, Azure, or GCP ADDITIONAL CONSIDERATIONS Proven success working in and promoting a rapidly changing, collaborative, and iterative product development environmentStrong interpersonal and analytical skillsIntellectual curiosity and an ability to execute projectsAn understanding of big picture business requirements that drive architecture and design decisionsDevOps and DataOps skills including infrastructure as code systems Data system performance tuning Implementation of predictive analytics and machine learning models (MLlib, scikit-learn, etc)

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