Job Description

Job Title - Senior Consultant - Data EngineerCareer Level - D3Leverage technology to impact patients and ultimately save livesDo you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!ABOUT ASTRAZENECAAstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the worlds most serious disease. But were more than one of the worlds leading pharmaceutical companies. At AstraZeneca were dedicated to being a Great Place to Work.ABOUT OUR IT TEAMIts a dynamic and results-oriented environment to work in - but thats why we like it. There are countless opportunities to learn and grow, whether thats exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.ABOUT THE ROLEWe are recruiting a Senior Data Engineer to join our Data, Analytics & AI group. As part of our transformational journey on Data & AI in Operations, we are taking the steps to advance our Operation Data Hub (ODH) to Data Mesh architecture. ODH exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of ODH is also accelerating Operations data strategy of making our data Findable, Accessible, Interoperable and Re-useable (FAIR). This is being achieved through the creation of a distributed data architecture, management of our data and data products will sit at the heart of this.As a Senior Data Engineer, you will be part of a engineering team accountable for harvesting, storing, quality checking, transforming, and visualising Operations data, build out reusable data products, which users from Operations units can self-service for analytics and AI/ML workflows. You will also be providing ongoing Business-as-Usual support to ensure these data products evolving overtime to meet Operations business objectives.It is our goal to create scalable solutions to support the development of valuable data products and address broad range of data use cases from Operations, including batch analytics based on data warehousing, data mart and Big Data stack, and emerging use cases on real-time analytics based on streaming.Our technology is focused around the AWS stack, existing technical components include AWS, SAP HANA, SAP MDG, SAS DQ, Qlik Replicate, Qlik Sense, Power BI. Moving forward, we aim to consolidate our technology estate and roll out modern data engineering stack, such as: Snowflake, DBT, AWS Kinesis, AWS MWAA.The core of our development and support team are based in Chennai. You will also work closely with the Enterprise Data & AI teams to demonstrate central Enterprise Data Platforms for Data Cataloguing, Master Data Management and Reference Data Management.You will need a collaborative delivery approach to be successful. We prefer to use Agile but choose the appropriate approach for the project. So, experience of a variety of delivery management methodologies would come in useful.You will need to have8+ years overall IT industry experience.Experience designing, implementing data products supporting bespoke analytics and AI applicationsDesign, develop, and deploy production-grade scalable data products using container technologies like Docker and Kubernetes with a focus on data testing and validationSolid experience using data and compute related services in AWS such as AWS S3, EC2, ECS, ECR, MWAA and EMR.Experience of data analysis - profiling, investigating, interpreting, and documenting data structures.Experience with & knowledge in a broad base of data tools, ETL frameworks, monitoring and data technologies, for example our stack includes: SAP HANA, SAP MDG, PowerBI, Qlik Sense, Qlik Replicate, Collibra, Snowflake, DBT. SnapLogic.Experience of visualisation technologies (we are focused on Power BI and Qlik Sense),Experience with code repositories such as GitHub.Production experience delivering CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions).Knowledge of data architectures, design including data modellingExtensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues.Advanced SQL skills and Experience in performance tuning SQL.Excellent verbal and written skills for effective communication with a variety of personas including, engineers, testers, architects, product managers, scientists, etc.Experience working in an Agile team.Experience in leading the technical team.Experience leveraging DevOps to enable automation strategies.Experience with data orchestration & scheduling tools such as Airflow.Knowledge about data cataloguing, master data and reference data management.Were a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.Were not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, its because we make a significant impact. Everything we do matters.SO, WHATS NEXT?Are you already envisioning yourself joining our team? Good, because wed love to hear from you! Click the link to apply and well be in touch as soon as we can.WHERE CAN I FIND OUT MORE?Our Social Media, Follow AstraZeneca on LinkedInWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.Date Posted 04-Jul-2024Closing Date 03-Aug-2024AstraZeneca 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.

AstraZeneca