Experience Inc. Jobs

Job Description Summary

Job Description

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health ™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Why Join Us ?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.

Become a maker of possible with us!

Job Summary

Data Engineer with 3 to 5+ years of experience in Databricks and hands-on experience in data transformation using PySpark and Spark SQL. The role will report in to our Technical Global Services (TGS) department and be fully dedicated to supporting the Medication Management Solutions (MMS) Business Unit to transform the data estate.

Job Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL and Data Engineering principles and business goals.

• Work with Data Engineering Technical and Functional Lead, SMEs and Business Stakeholders to Provide Data & Analytics solution and support by leveraging Data Engineering standards and guidelines using Azure Databricks and ADF.

• Solve complex data problems to deliver insights that helps the organization's business to achieve their goals.

• Create data products for analytics and data scientist team members to improve their productivity.

• Design the solutions for multiple large data warehouses in Azure cloud environment utilizing the parallel architecture and appropriate technology stack.

• Perform various proof of concepts to test the ideas and technology capabilities and subsequently drives these concepts into real solutions.

• Work with various business units to identify the requirements and build corresponding data models and data pipelines.

• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.

• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.

• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team.

• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

Our Requirements

• Bachelor’s Degree in Information Technology, Computer Science or relevant.

• 5 years of experience working in data engineering role.

• Expertise in Databricks, with hands-on experience in data transformation using PySpark and Spark SQL.

• In-depth knowledge on Azure Data Factory, Azure Data Lake, Delta Lake, Azure SQL, Azure Blob Storage.

• Comprehensive understanding of ETL and big data principles, including Hive and the Spark framework.

• Experience in troubleshooting and optimizing Spark on Databricks.

• Apply medallion architecture to design and develop data warehouses that support efficient analytics. Ensure data is organized, clean, and easily accessible for reporting purposes.

• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space.

• Hand-on experience with various file formats, including CSV, JSON, XML, XLS and PARQUET.

• Ability to formulate complex SQL queries and a solid grasp of Data Warehouse principles.

• Knowledge with DevOps and Agile project methodologies, with the ability to implement requirements using Databricks and Azure Data Factory.

• Experience in version control systems such as Git/Bitbucket.

• Familiarity with SAP, MS Azure, and Power BI is a plus.

• Strong work ethic, flexibility to changes in work direction as the project develops and ability to work at an abstract level and gain consensus.

• Passionate about Agile software processes, data-driven development, reliability, and experimentation.

• Self-motivated with strong problem-solving and learning skills.

• Excellent communication, listening, and influencing skills.

• Experience working on a collaborative Agile product team.

Knowledge and Skills

• ETL and SQL

• Databricks, Azure Data Factory.

• GIT/Bitbucket

• Power BI or similar reporting tool.

• Critical Thinking Skills

• Behavioural Skills

• Soft Skills

• Leadership Skills

Desired / Additional Skills & Knowledge (Not essential to the job but will be an advantage to possess)

• Working experience on Microsoft Azure cloud platform

• Power BI

Click on apply if this sounds like you!

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

To learn more about BD visit: https://bd.com/careers

Primary Work Location

MYS Kuala Lumpur - Jalan Kerinchi

Additional Locations

Work Shift

MY2 Night 10p-7a Tue-Sat (Malaysia)

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.