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Big Data Engineer

Company: Everyday Health Group
Location: Austin
Posted on: January 15, 2022

Job Description:

Description Everyday Health Group (EHG) is a recognized leader in patient, and provider education with services attracting an engaged audience of over 60 million health consumers and over one million U.S. healthcare providers. Our mission is to drive better clinical and health outcomes through decision-making informed by highly relevant information, data, and analytics. We empower healthcare professionals and consumers with trusted content and services delivered through Everyday Health Group's world-class brands. The Opportunity Everyday Health Group is looking for a Big Data Engineer to join our Data Analytics and Business Intelligence team immediately. In this role, they will take the lead in developing database tools, managing ETL, storage, optimization of AWS, Databricks, and providing analysis of database performances. This is a critical role to ensure that our data pipelines are properly created, stored, and maintained. Key Responsibilities Big Data Engineer will manage and analyze big data sources and report their performances They will extract data from various sources, such as Google Analytics, Salesforce, and multiple email services providers with established protocols (see Tools section, bellow). They will use tools, such as APIs, and Python, PySpark or other programs to fetch or stream data into storage. They will create and modify these tools for new requirements. Engineer will analyze data feeds performance and provide insights, they will detect, analyze problems, and provide solutions for data extractions and storage and retrievals, including Identifying errors, Creating rules to alert users of the reports of abnormal performance of data, or events, Providing root cause analysis, Proposing and implementing solutions, Designing monitoring programs for performance and data accuracy. They will adopt tools and reports to new business needs by Using existing data to support insights and analytics, Identifying new sources to support and create insights, Job Qualifications To successfully complete the tasks, Engineer is expected to have At least three years in big data and database engineering, ETL, Storage optimization; or equivalent training or certification, Experience in using PySpark, High level familiarity with big data concepts, Knowledge of root cause analysis, or appropriate diagnostic framework, Worked on digital traffic modelling, such as email opens, clicks, visits, and other KPIs, Designed measurement programs for digital media, including videos, texts, contents, and An education in statistics, mathematics, computer science, or quantitative studies The following tools are basic requirements to complete the tasks: SQL, including MySQL, MSSQL Google Analytics Python, PySpark, or other big data management tools Modern data technology platforms, Redshifts, PostgreSQL, HIVE, Databricks Others Familiarity with PowerBI, or other dashboard tools Examples of a career of learning and creativity Techniques that show high focus, organization, communication and presentation skills Our Culture and Values We love collaboration, always desire to understand the business problem we're solving, push decisions down as low as possible, and want to further our culture of innovation and experimentation. We created our values together, to embody both our audience goals and our workplace aspirations: to promote diversity and create opportunities; to be authentic; to enable wellness; to ignite passion and reimagine possibilities; to be results driven with a bias toward action; and to inspire connectedness. About Everyday Health At Everyday Health Group, a division of Ziff Davis , we work in a culture of collaboration and welcome those who desire to join our growing global community. We believe in careers versus jobs and people versus employees. We seek enthusiastic individuals with an entrepreneurial spirit looking for an environment that rewards your best work. Everyday Health offers competitive salaries in addition to robust health and wellness focused benefits including medical, dental, vision, life and disability benefits; Flexible Spending accounts, 401(k) with company match, an Employee Stock Purchase Plan, Pregnancy and Parental leave, Family Planning Support via Maven, Flexible Time Off, Volunteer Time Off, Fitness Reimbursement as well as employee-focused engagement and education programs, including Employee Resource Groups and company-sponsored events. If you're seeking a dynamic work environment where you can see the direct impact of your performance, then Everyday Health is the place for you. Everyday Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. This is a remote/office-based position which may be performed anywhere in the United States except within Colorado. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.#EverydayHealth#LI-CL1

Keywords: Everyday Health Group, Austin , Big Data Engineer, Engineering , Austin, Texas

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