Engineering Manager - Data Engineering

 

What you will do 
Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing (to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

 Roles & Responsibilities: 

Design, develop, and maintain data solutions for data generation, collection, and processing

Leading and being hands-on for the technical design, development, testing, implementation, and support of data pipelines that load the data domains in the Enterprise Data Fabric and associated data services.

Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.

Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.

Be able to translate data models (ontology, relational) into physical designs that performant, maintainable, easy to use.

Implement data security and privacy measures to protect sensitive data

Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

Collaborate and communicate effectively with product teams

Identify and resolve complex data-related challenges

Adhere to best practices for coding, testing, and designing reusable code/component

Explore new tools and technologies that will help to improve ETL platform performance

Participate in sprint planning meetings and provide estimations on technical

Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible.

 

What we expect of you 
We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.



Basic Qualifications:

Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR

Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR

Diploma and 10 to 12 years of Computer Science, IT or related field experience



Preferred Qualifications:

 Functional Skills: 


Must-Have Skills:

Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and graph data stores ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).

Experience with ETL tools such as Apache Spark, Prophecy and various Python packages related to data processing, machine learning model development

Strong understanding of data modeling, data warehousing, and data integration concepts

Able to take user requirements and develop data models for data analytics use cases.

 

Good-to-Have Skills: 

Knowledge of Python/R, Databricks, SageMaker, cloud data platforms

Experience using graph databases such as Stardog , Marklogic , Neo4J , Allegrograph, etc. and writing SPARQL queries.

Experience working with agile development methodologies such as Scaled Agile.

 Professional Certifications 

AWS Certified Data Engineer preferred

Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

 Soft Skills: 

Excellent critical-thinking and problem-solving skills

Strong communication and collaboration skills

Demonstrated awareness of how to function in a team setting

Demonstrated presentation skills

 Shift Information: 
This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.



 Equal opportunity statement 
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.



 

What you can expect of us 
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.



 

Apply now 


for a career that defies imagination

Objects in your future are closer than they appear. Join us.

 

careers.amgen.com