| Required Sr. Data Engineer-Remote-USC GC ONLY at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=68491&uid= From: Gaurav Bhagat, KPG99 [email protected] Reply to: [email protected] Hi, Please find the job description below and let me know your interest: Position: Sr. Data Engineer Location: Remote Duration:6+ Months (CTH) USC and GC only Must be able to Convert after 6 months without sponsorship. Job Description: Manager's team consists of Data Analytics Engineering, and they are responsible for building data pipelines for Retail Pharmacy and understanding certain clinical products to confirm if patients are qualified for them. Currently they are doing batch processing for use cases but hoping to go live with real time processing (Kafka, Docker, Kubernetes, microservices etc). Required: * Strong in SQL and Python, 2+ years with both (preferably) * Experience building automated data pipelines * Experience performing data analysis and data exploration * Experience working in an agile delivery environment * Strong critical thinking, communication, and problem-solving skills Preferred: * Experience with big data frameworks (i.e. Hadoop and Spark) * Experience with cloud based platforms (i.e. Azure, GPC, AWS) * Experience working in multi-developer environment, using version control (i.e. Git) * Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory) Position Summary: You will collaborate with business partners to identify opportunities to leverage big data technologies in support of Pharmacy Personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will design highly saleable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will define and maintain data architecture, focusing on applying technology to enable business solutions. You will assess and provide recommendations on business relevance, with appropriate timing and deployment. You will perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications. You will bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. You will develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation. Required Qualifications : * Bachelor's Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field with 4+ years of professional or business analytics experience; or Master's Degree with 2+ years of experience in: * Strong in SQL and Python, with 2+ years hands-on coding experience with both * Experience building automated big data pipelines * Experience performing data analysis and data exploration * Experience working in an agile delivery environment * Strong critical thinking, communication, and problem-solving skills * Experience with big data frameworks (i.e. Hadoop and Spark) * Experience with cloud-based platforms (i.e. Azure, GPC, AWS) * Experience with Snowflake and hands-on query tuning/optimization. * Experience working in multi-developer environment, using version control (i.e. Git) * Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory) * Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) * Experience with REST API/Microservice development using Python * Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) Preferred Qualifications : * Previous healthcare experience and domain knowledge * Exposure/understanding DevOps best practice and CICD (i.e. Jenkins) * Exposure/understanding of containerization (i.e. Kubernetes, Docker) Education : * Bachelor's Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field or Advanced Degree * Preferred: Master's Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc. http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=68491&uid= |
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| 02:21 AM 19-Oct-22 |