Examples include Marketing Channels or custom dimensions, such as internal promotions. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from large disconnected datasets, Expert in ETL and/or other data manipulation languages such as Python, SAS and R, Creative in finding new solutions and designing innovative methods, systems and processes, Desire to create and build new predictive/optimization tools for structuring datasets, PhD in a quantitative field such as Economics, Mathematics, Statistics, Operations Research or Computer Science, Experience with AWS and big data technologies such as Hive, Spark, Pig, Strong analytic skills for working with unstructured datasets, Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment, A good candidate has strong analytical skills and enjoys working with structural data sets, Excellent knowledge of SQL; flexible to learn other scripting languages for data manipulation, 5+ years of working with large data sets and analyzing data to identify patterns, 5+ years of SQL, RDBMS, data warehousing experience, Strong customer focus, ownership, urgency and drive, BS degree in Computer Science, Engineering, Information Systems or a related technical field and 3-5 years of related industry experience; or a MS degree with 2 years experience; or 2 years related Amazon experience, Expert knowledge of SQL, databases, and ETL jobs, Advanced understanding and experience working with data warehousing, data quality, An ability and interest in working in a fast-paced and rapidly-changing environment, Bachelor's Degree in Computer Science or a related technical discipline, Expertise in the design, creation and management of large datasets/data models, Ability to work with business owners to define key business requirements and convert to technical specifications, Experience with OBIEE, Tableau or MicroStrategy, Develop and maintain scalable, automated, user-friendly systems that support Sustainability analytics and insights, Work with stakeholders within and outside the company to integrate data sources to create a unified Sustainability data infrastructure, Scope, build, and maintain data infrastructures for new Sustainability initiatives, Automate processes to capture and flow a wide range of data resources, Design data analytics and dashboards to show progress against goals, Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, 3+ years’ work experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies in a business environment, Demonstrated ability in ETL development, Data Warehousing, or similar quantitative and qualitative experience with impact to a business, 3+ years of experience scripting using Perl, Ruby, Python, or other programming languages. Develop a comprehensive, secure self-service reporting solution for compliance analysis and monitoring in concert with BI team. Report any breaches of regulations to Legal and Compliance, To develop the Database Platform standard build including enhancement, maintenance, management and enhancements, To implement and maintain Security and auditing best practice, Database patch management and release process development and improvement, Design and development of tools and expertise for pro-active evaluation, analysis and remediation of database environments providing optimum performance and reliability, To maintain market awareness of new products that could potentially offer improved value to the operations and application development, Liaison with appropriate application development representatives to optimise value to the business, To perform testing of third party software prior to release to the production environment, Working with 3rd party vendors in the delivery of engineering solutions, Provision of level 3 support as required by database operations, Maintain good working relationships with other Technology Services functions, Production of all necessary support documentation, Manage the solution release processes between Database Engineering and Database operations, providing documentation and training as appropriate, This is not a DBA role, this is Database Engineering role but previous DBA experience would be highly valuable, Strong general and current Technology knowledge in particular with respect to technology deployment in Financial Services or other innovative technology users, (5+ years). Create a Resume in Minutes with Professional Resume Templates. ), Solid communications skills and a team player, Experience implementing and working with Tableau for reporting and exploratory analytics, Experience with scripting languages (Python, Perl, Unix shell, etc. 10%, Provide DBA support on existing SQL Server environments including change management, code releases, break fixes and (7X24) on call support 40%, Work with Enterprise Monitoring team to configure and review database monitoring. in Computer Science, MIS or related degree and a minimum of five (5) years of relevant experience or combination of education, training and experience, Expert Level working knowledge of ETL concepts and building ETL solutions, Data warehousing concepts and current Data Integration patterns/technologies, Prototyping and automating Data Integration Processes, Deep experience with Oracle as a Database Platform, Physical Performance Optimization of Oracle Databases, Design and build our Big Data pipeline that can transfer and process several terabytes of data using Apache Spark, Python, Apache Kafka, Hive and Impala, Design and build data applications that will drives or enhances our products and customer experience, Self starter and a team player. It’s actually very simple. You can create and customize Marketing Channel Processing Rules based on what channels you want to track, and how you want to track them. The API call is made only once per page (at it’s late state). Areas of study-Applied Mathematics, Statistics, Controls & Instrumentation, Over 5 years of experience developing for Data Warehousing, Data Marts, Business Intelligence, and/or Master Data Management, Experience developing in Oracle, DB2, SQL Server, Strong knowledge of Database Management Systems, Experience in SDLC and best practices for development, Ability to work against mid-level design documentation, take it to a low-level design, and deliver a solution that meets the success criteria, Knowledge of packaging and promotion practices for maintaining code in development, test, and production, Experience working in a leadership capacity, Fundamental knowledge of IT Service Management/ITIL processes and tools, Data Virtualization using Cisco’s Information Server (Composite), Big Data Platforms: Netezza, Hadoop, Teradata, Pursuing a BS or higher in one of the following areas: Computer Science, Electrical/Computer Engineering, Mathematics, Physics, Pursuing a B.S., M.S., or PhD Computer Science or related field, Expertise with at least one programming language (preferably Python, Perl or PHP), A minimum of 5+ years of IT experience with deep exposure to database technologies, Bachelor's Degree in Information Systems, Computer Science or related technical discipline, Demonstrated track record of providing technical solutions, Must have at least 3-5 large Transactional & Operational DB implementations as a Data Modeler / DB Developer/Middleware specialist, Ability to conceive and portray the big picture, Strong interpersonal & verbal/written communication skills, Strong critical thinking and decision-making ability, Ability to operate across technical and functional teams effectively, Experience working in a global environment team members working remotely located in various time zones, Solid understanding of RDBMS and NoSQL databases, Data munging experience in a commercial setting, Willingness to learn new programming languages and technologies (e.g. Wikipedia has released a data set of clickstream data for January 2015. ), Influence and improve data quality by developing and instrumenting application monitoring, health checks, health metadata, and self-healing processes to ensure high reliability and uptime, Automate all of the above where possible to further improve code, application, and data quality, Grow to be a technical subject matter expert for proprietary optimization and analytics efforts, Partner with optimization analysts, system administrators, and project managers to design, build, deploy, and capture effective metrics, Support fellow engineers, business and technology partners, and project stakeholders, contributing to both internal and external open source projects and standards, Prioritize daily workflow and demands on quality, time and resources, Meet all requested development objectives and deadlines as assigned by the engineering manager, Participate in agile and continuous planning ceremonies and provide input on stories, requirements, and acceptance criteria as needed, 4-6 years professional experience in JavaScript/HTML/CSS minimum, 4-6 years professional experience with database-driven commercial websites, 2-4 years experience with a server scripting language (node, Python, Java, Ruby), 1-2 years experience with cloud infrastructure and ops desired (AWS), Demonstrated experience with test and build automation tools (PhantomJS, Casper, Selenium, Grunt, Guard), Experience with Test- and Behavior-Driven Development preferred (Mocha, Chai, Cucumber, etc. Vertica/Redshift), Expert knowledge of SQL/Hive, Pig/Cascading a plus, Work closely with data scientists and engineers to design and maintain scalable data models and pipelines, Develop and maintain cross-platform ETL processes, Help data scientists optimize productionized Pig and Hive queries, Build and integrate data management systems of various types, Deliver software with a focus on large scale processing, data security and high performance, Build, test and deliver software continuously to critical production systems, Build automation to manage and monitor the company's internal Data PaaS, Experience with large-scale data processing (e.g. Tableau and Excel is preferred, Familiarity with Hadoop framework, Hive and Redshift, Develop, and maintain scalable, automated, user-friendly systems that will support our analytical and business needs, Work with different stakeholders within and outside the Product Replenishment organization to integrate data sources to create a unified data infrastructure, Scope, build, and maintain data infrastructures for new business initiatives, Demonstrated ability in ETL development, survey platforms, and Data Warehousing, or similar skills, Experience with reporting tools like Tableau or similar BI tools, Experience working in very large data warehouse environments, Bachelor's Degree in Information Systems, Information Technology (IT), Computer Science or Engineering (or related IT degree), Minimum of 3 years of experience with technical implementations, Minimum of 3 years of experience in software development and implementations, Minimum of 2 years of experience designing data model solutions for various applications, Detailed understanding of technology infrastructure, application structures, and database technologies, Demonstrated ability to deliver creative technical solutions, Excellent technical problem solving skills, Project management skills, Project Management Certification, Experienced software engineer with exceptionally strong coding, debugging, and design skills, Experienced in application and enterprise architecture, with emphasis on data management, integration, and data transformation, Experienced with effective application architectures and object oriented development, and software engineering methodologies, especially in cloud environments, Multiple years of experience using scripting (Python, Perl, Shell, etc) and working on databases such as PostgreSQL, Oracle, SQL Server, and/or time series databases, Project management and team leadership experience, project management certification, Resourceful and quick learner; able to efficiently seek out, learn, & apply new areas of expertise in a fast paced environment, Proficient with agile methodologies, scrum master, Possesses strong problem solving and analytical skills, Strong technical aptitude and a passion to expand technical expertise, Strong team player – collaborates well, partners to solve problems and actively incorporates input from various sources, Demonstrated strong oral and written communication skills, Strong working knowledge of contemporary security practices, Self-starter - requires minimal direction to accomplish goals, This position requires a Bachelor's Degree in Computer Science or a related technical field, and 3+ years of relevant employment experience, 5+ years work experience in using SQL and databases in a business environment, Experience operating very large Data Warehouses, Data science and engineering: Design and develop software systems to deploy data science solutions, Business Consulting:Possesses in-depth business knowledge; Initiates and drives discussions with business partners to identify business issues needing analytic solutions, Insights Operationalization:Develops processes to automate and scale insights operationalization, Project Management:Develops and drives multiple cross-departmental projects, Analytics Evangelism:Establishes brand and team as subject matter experts in Advanced Analytics across departments, MS+ w/ concentration in developing and deploying data science models related to search, text analytics, recommendation models, etc in cloud infrastructure (AWS/AZURE), Ability to productionize data science algorithms including machine learning models, Advanced competency and expertise in several techniques Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig), Works independently with guidance in only the most complex situations, Solves complex problems and develops new solutions, 2) 6+ years of experience working with OpenVMS Operating System.

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