Data Engineer/ Data Visualization

6 giorni fa

Pisa, Italia Takeda Pharmaceutical A tempo pieno

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description
Job Title : Data Engineer/ Data Visualization & Analytics Expert
Location : Pisa, Italy
About the role:
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
How you will contribute:
Background in data engineering and data visualization along with experience in Agile project management methodologies.
Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
Perform data manipulation and queries using SQL independently.
Develop scripts and applications in Python for complex data processing needs.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
Advise, consult and coach other data and analytic professionals on data standards and practices.
Create advanced data visualizations and dashboards in Tableau or in PowerBI.
Apply machine learning techniques to predict outcomes and increase business processes.
Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
Occasionally lead small project teams and provide informal guidance to junior staff.
Minimum Requirements/Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
Experience of SQL, implementing complex queries and managing databases.
Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
Expertise in data visualization tools (Power BI, Qlik, etc.).
Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
Analytical skills, able to transform data into applicable insights that move decision-making.
Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative work environment.
Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine:
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
Locations
ITA - Pisa
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
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