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Amgen
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Data Engineer - R&D Multi-Omics (Open)

Data Engineer - R&D Multi-Omics (Open)

Amgen

5 - 9 years

6 - 9 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Performance tuning Cloud computing Data modeling Coding MySQL Agile Oracle SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Let s do this. Let s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen.

Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimize large datasets for query performance
Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve 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 implementation
Maintain documentation of processes, systems, and solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The role requires proficiency in scientific software development (e.g. Python, R, Rshiny, Plotly Dash, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc).

Basic Qualifications:

Master s degree/Bachelors Degree and 5 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience.

Preferred Qualifications:

5+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms.

Functional Skills:

Must-Have Skills:

Proficiency with SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
Hands on experience with big data technologies and platforms, such as Databricks (or equivalent), Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Excellent problem-solving skills and the ability to work with large, complex datasets

Good-to-Have Skills:

Experience the git, CICD and the software development lifecycle
Experience with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) or Databricks
Experience with cloud computing platforms and infrastructure (AWS preferred)
Experience using and adopting Agile Framework
A passion for tackling complex challenges in drug discovery with technology and data
Basic understanding of data modeling, data warehousing, and data integration concepts
Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
Experience writing and maintaining technical documentation in Confluence

Professional Certifications:

Databricks Certified Data Engineer Professional preferred

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
High degree of initiative and self-motivation.
Demonstrated presentation skills
Ability to manage multiple priorities successfully.
Team-oriented with a focus on achieving team goals.

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.

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Data Engineer - R&D Multi-Omics (Open)