AWS Data Engineer - Hybrid/Remote

Do you want to be part of an inclusive team that works to develop innovative therapies for patients Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at .

This position is remote and is based in Bangalore, India. At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.

As an Information X Data Engineer, you will play a crucial role in leading, designing, building, and maintaining our data infrastructure. Your expertise in Data engineering across multiple platforms including Azure/

AWS

Cloud Data Warehousing, Databricks, PySpark, SQL, Business Intelligence (Qlik) , Application management and other related technologies, will be instrumental in enabling data-driven decision-making and outcomes. Working within small agile teams that are focused on delivering value, you will play a pivotal role in building, maintaining and enhancing our strategic systems across the organisation. This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilise your development skills, and contribute to the continuous improvement/delivery of critical IT solutions.

Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/data model (e.g. data vault, dimensional data model).

Experience within Life Sciences/ Pharma /Manufacturing industry is preferred.

Proven experience in building robust data pipeline; experience in (near) real-time processing is preferred.

Strong coding skills for example, Python, PySpark, SQL.

Engineering experience across multiple platforms for example AWS, Azure, Databricks or Change Data Capture (eg. Expertise in building data pipelines and strong understanding of data management best practices

Proficiency in network architecture and security concepts

Proven experience with data analytics practices and techniques and organizations

Agile Practices: Experience working in Agile development environments, participating in sprint planning, stand-ups, and retrospectives.

Cloud Data Solutions: Familiarity with other cloud platforms (AWS, Azure, Google Cloud) and their data services

Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement

Agile Champion: Adherence to DevOps principles, automation, and a proven track record with CI/CD pipelines for continuous delivery

Data Pipeline Development: Design, build, and optimize data pipelines using DWH technologies, Databricks, QLIK and other platforms as required. Ensuring data quality, reliability, and scalability.

Application Transition: Support the migration of internal applications to Databricks (or equivalent) based solutions. Managing Continuous Improvement, Continuous Development, DevOps and RunOps activities at application, data and infra levels either on cloud or on premise.

Mentorship and Leadership: Lead and mentor junior data engineers. Data Strategy Contribution: Contribute to the organization's data strategy by identifying opportunities for data-driven insights and improvements.

Design, develop and implement robust and scalable data analytics using modern technologies.

Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, FoundationX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.

Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.

Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.

Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog.

Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization.

Stay-up-to-date on the latest trends and technologies in data engineering and cloud platforms.

Experience

At least 5+ years demonstrable experience in:

Data engineering with a strong understanding of PySpark and SQL, building data pipelines and optimization.

Data engineering and integration tools (e.g., Databricks, Change Data Capture)

Utilizing cloud platforms (AWS, Azure, GCP). A deeper understanding/certification of AWS and Azure is considered a plus.

Experience with relational and non-relational databases.

Bachelor's degree in computer science, Information Technology, or related field (Master's preferred) or equivalent experience.

Any relevant cloud-based integration certification at associate or professional level. AWS certified DevOps engineer (Associate or Professional),

AWS Certified Developer (Associate or Professional)

Qlik Sense Data Architect / Business Analyst (or similar platform)

Mulesoft Certified integration architect Level 1,

Microsoft Certified Azure Integration and Security.

AWS, CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, VCP (any relevant certification)

MuleSoft

Understanding of MuleSoft's Anypoint Platform and its components

Experience with designing and managing API-led connectivity solutions

AWS

Experience provisioning, operating, and managing AWS environments

Experience developing code in at least one high-level programming language

Understanding of modern development and operations processes and methodologies

Ability to automate the deployment and configuration of infrastructure using AWS services and tools

Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools

Microsoft Azure

Fundamental understanding of Microsoft Azure and AWS and the data services provided

Experience with Azure services related to computing, networking, storage, and security

Knowledge of general IT security principles and best practices

Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management

Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains.

Other complex and highly regulated industry experience will also be considered for e.g. healthcare, government or financial services.

Data Analysis and Automation Skills: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement.

Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization.

Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.

Cross-Cultural Experience: Work experience across multiple cultures and regions, facilitating effective collaboration in diverse environments.

Innovation and Creativity: Ability to think innovatively and propose creative solutions to complex technical challenges.

Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making.

At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility

Astellas' Global Capability Centres (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help'

EOE including Disability/Protected Veterans