Data Engineer
Data Engineer
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Job Description
Your day to day
Were an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further faster.
Are you ready to harness the power of data to drive advancements in healthcare Are you passionate about designing building and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine If youre seeking a rewarding career at the intersection of healthcare and technology we invite you to be part of our dynamic team. This is a unique multi-year project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry youll be at the forefront of managing optimizing and expanding our data infrastructure enabling critical insights that can positively impact patient outcomes. If youre excited about leveraging your data engineering skills to make a difference in the world of healthcare we want to hear from you.
#LI-SW1
#LI-Hybrid
Qualifications :
Minimum qualifications:
- 2-4 years of industry working experience
- Advanced SQL and Python
- Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting standardizing and serving billions of data rows spanning diverse datasets ranging from tens to hundreds
- Experience building dynamic metadata driven pipelines and analyses
- Building and managing fully automated data pipelines (ETL ELT ELTL) including:
- Designing and building data interfaces to source systems
- Combining and transforming data into the appropriate format for storage
- Developing data sets for analytics purposes
- Developing pipelines that can handle common issues/errors in a robust and automated way
- Cloud experience in Azure AWS or GCP
Preferred qualifications:
- Spark / PySpark experience highly preferable
- Working in Agile and DevOps environments
- Basic Python Bash or PowerShell for automation
- Data modelling Kimball Data Vault Star/Snowflake schema Query-first etc.
- Data visualisation in Power BI Tableau Qlik or similar
- Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data Relational or Streaming technologies
- One or more of the following certifications:
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified Data Analytics - Specialty
- GCP Professional Data Engineers
Additional Information :
Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However the actual time you spend and where you spend it will vary by role or assignment including up to 5 days per week on a client site
Life At PA encompasses our peoples experience at PA. Its about how we enrich peoples working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds identities and minds embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity bringing ingenuity to life. We are dedicated to supporting the physical emotional social and financial well-being of our people.
The Salary Range for this role is between $80000 - $100000
Benefits
Group medical insurance
Health Savings Account with company match
Teladoc and informed Nurse line resources
Long term care plan
Group dental insurance
Vision plan
401(k) Savings Plan with company profit sharing contribution
Commuter and Parking tax-savings benefit
15 days paid vacation days with the opportunity to buy five additional days
10 paid Holidays plus 10 paid sick days
Company and Voluntary income protection benefits
Gym and health incentive reimbursement
Pet and legal insurance Plans
Employee Assistance Plan
Annual performance-based bonus
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
