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Senior Consultant - ModellingOps Data Engineer

Lieu Chennai, Tamil Nadu, Inde Job ID R-077160 Date de publication 05/20/2020

Job Title: Senior Consultant - ModellingOps Data Engineer
Location: TRIL GTC
GCL:    D1


AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's 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.


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 solution


  • 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


  • Agile practices, especially being a SCRUM Master


We 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. 

AstraZeneca 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 authorisation and employment eligibility verification requirements.

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