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Senior Consultant - ModellingOps Data Engineer

7.00 to 10.00 Years   Chennai   25 Sep, 2020
AstraZeneca
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryPharma / Biotech
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Job Title: Senior Consultant - ModellingOps Data EngineerLocation: TRIL GTCGCL: D1JOB DESCRIPTION:AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the worlds most serious diseases. The Science & Enabling Units IT is AZ s global IT capability function supporting key business areas operating out of sites across the US, UK, Sweden, India & Mexico.We are looking for AI Ops consultant who will leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space.ROLES & RESPONSIBILITIES:7-10 years of experience in IT Operations involving Data Science, Artificial Intelligence-Machine Learning and Predictive Analytics. Experience in architecting and implementation of end-to-end AIOPs solutions through ELK stack, Splunk. Experience in applying statistical methods, analysis, pattern recognition and modeling on IT Operational data using ELK machine learning. Experience in extracting meaning full data from incoming data streams from different sources through RegEx, Grok etc. Hands-on experience in applying machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc in the IT Operation domain. Experience with machine learning and statistical programming languages - Python, R etc. Experience in assessing the existing IT environment and providing recommendations to reduce the critical applications impacting incidents. Experience in exploring and identifying areas where manual tasks can be automated in IT environment. Experience with various Enterprise IT monitoring solutions including Infrastructure monitoring, Application Performance Monitoring, Network Monitoring, Cloud monitoring etc. Experience in IT Service Management including Service Desk, Incident Management, Change Management, CMDB etc. Excellent knowledge on various IT infrastructure components that includes Server Infrastructure, middle ware, database and application architectures and Cloud Components. Experience/knowledge on Infra monitoring tools - NOI, Zabbix, AppDynamics, Datadog, SCOM, SolarWinds etc. and Service Management tools -IBM Control Desk, BMC Remedy, ServiceNow etc. Experience/Knowledge on BI tools Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Knowledge on other programming languages/scripting: Python, Java, JavaScript, etc. ( Added Advantage ) Good analytical skills, strong communication skills are must. Client facing experience is an added advantage. Excellent experience in understanding the problem statement, architect and designing the solutionMANDATORY SKILLS:

  • Significant experience with AWS cloud environments, working knowledge of Google and Azure platforms. Knowledge of Kubernetes, S3, EC2, Sagemaker, Athena, RDS and Glue is essential.
  • Experience provisioning computational resources in a variety of Cloud environments using Infrastructure as Code.
  • Experience with best practice of data transport and storage within cloud system.
  • Experience building large scale data processing pipelines. e. g. Spark and SQL.
  • Experience with containers and microservice architectures e.g. Kubernetes, Docker and serverless approaches.
  • Excellent working knowledge in DevOps, using continuous integration and continuous development.
  • Use of Data Science modelling tools e.g. R, Python, SAS and Data Science notebooks (e.g. Jupyter).
  • Good written and verbal skills, fluent English
DESIERED SKILLS:
  • Agile practices, especially being a SCRUM Master
EDUCATIONAL BACKGROUND: B.E/B.Tech/MCAWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Date Posted02-Aug-2020Closing DateAstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.,

Keyskills :
data sciencecustomer relationsservice deskstrong communication skillsit operationssapbmc remedydeliverydata transportsqlsalesit service management

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