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Senior Consultant - Snowflake, United States - AstraZeneca
Description
Job Title - Senior Consultant - Data EngineerCareer Level - D3
Leverage technology to impact patients and ultimately save lives
Do 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 ASTRAZENECA
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious disease.
ABOUT OUR IT TEAM
It's a dynamic and results-oriented environment to work in – but that's why we like it.
There are countless opportunities to learn and grow, whether that's 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 ROLE
We 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 Operation's 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 have
8+ years overall IT industry experience.
Experience designing, implementing data products supporting bespoke analytics and AI applications
Design, develop, and deploy production-grade scalable data products using container technologies like Docker and Kubernetes with a focus on data testing and validation
Solid 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.
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 modelling
Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues.
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 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.
We're 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.
We're not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it's because we make a significant impact. Everything we do matters.
SO, WHAT'S NEXT?
Are you already envisioning yourself joining our team? Good, because we'd love to hear from you Click the link to apply and we'll be in touch as soon as we can.
WHERE CAN I FIND OUT MORE?Our Social Media, Follow AstraZeneca on LinkedIn
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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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