AstraZeneca

Lead Consultant - Platform Engineer - Data Platforms

Chennai, India
Kubernetes TensorFlow PyTorch AWS Python SQL Terraform Docker
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Description

Job Title: Lead Consultant - Platform Engineer - Data Platforms

Career Level - E

Introduction to role

Are you ready to disrupt an industry and change lives? AstraZeneca is seeking a Lead Consultant - Data Platforms to join our dynamic IT team. This role is part of the Data, Analytics, and AI (DAAI) team within the Solution and Service Delivery (SSD) arm of Commercial IT. With a global remit, this team is responsible for the delivery of capabilities that leverage data to drive successful business outcomes. As a Lead Consultant, you will be responsible for leading the design, development, testing, and deployment of capabilities within the cloud-based platforms aligned to DAAI, primarily within AWS. This is an exciting opportunity to join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Are you up for the challenge?

Accountabilities

As a Lead Consultant, your responsibilities will include leading design, development, testing, and deployment activities for cloud-based Data Platforms within the DAAI portfolio. You will maintain deep working knowledge of Data Platforms to continuously improve performance, efficiency, and capabilities. You will collaborate with Global Capability and Product Engineering colleagues to drive the platform backlog and ensure Platform Engineering solutions align to both Enterprise and Solution Architecture standards and strategy. You will also evaluate new technology products and services, provide recommendations with regards to fit and prioritization within platform roadmaps, and mentor offshore Platform Engineering teams.

Essential Skills/Experience:

  • Bachelor’s in Computer Science, Information Systems, or related field.

  • 7+ years of experience in a software engineering role.

  • 3+ years of experience developing data/analytics capabilities on cloud platforms.

  • Proven experience developing solutions using serverless principles and/or infrastructure as code (IaC).

  • Understanding of data lake/lakehouse and medallion architecture concepts.

  • Extensive experience with languages/libraries applicable within data/analytics contexts (e.g. Python, PySpark, SQL).

  • Understanding of platforms and tools utilized within MLOps workflows (e.g. MLflow, SageMaker).

  • Expertise in Continuous Integration and Delivery (CI/CD) methods and tools (e.g. Bamboo, Bitbucket, Github).

  • Understanding of cloud security principles implemented via identity and access controls.

  • Experience working within an Agile/Scrum development methodology.

  • Proven experience working with complex integrated systems.

  • Experience working in a global organization with a complex geographical structure.

  • Proven experience developing and managing relationships with 3rd party suppliers.

  • Strong interpersonal skills.

  • Strong written and verbal communication skills.

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  • Experience working within a DevOps delivery model.

  • Experience working in the pharmaceutical, biotech, or healthcare industry.

  • Experience working within a commercial domain.

  • Experience building and optimizing data pipelines.

  • Deep understanding of a broad range of AWS Services (e.g. IAM, EMR, Glue, S3, Lambda, Athena, MWAA, EC2, RDS).

  • Experience with cloud-based data/analytics platforms (e.g. Databricks, Redshift, Snowflake).

  • Experience with DevOps tools (e.g. Terraform, Docker, Kubernetes).

  • Working knowledge of ML frameworks, libraries, and technologies (e.g. Tensorflow, PyTorch).

  • Ability to interpret and communicate technical information into business language.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we dare to lead, applying our problem-solving mindset to identify and tackle opportunities across the whole enterprise. Our spirit of experimentation is lived every day through our events like hackathons. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and revolutionise AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification. We're part of a global company that's investing in a bold digital strategy; to become a truly data-led enterprise that disrupts the entire industry.

Ready to make an impact? Apply now and join us in our mission to develop life-changing medicines!

Date Posted

26-Sept-2024

Closing Date

03-Oct-2024

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 authorization and employment eligibility verification requirements.

AstraZeneca
AstraZeneca
Biopharma Biotechnology Health Care Medical Pharmaceutical Precision Medicine

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