Sr Associate IS Analyst
India - Hyderabad
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Information SystemsJob Description
Role Description:
The Data Engineer is a key contributor to the Clinical Trial Data & Analytics (CTDA) Team, driving the development of robust data pipelines and platforms to enable advanced analytics and decision-making. Operating within a SAFE Agile product team, this role ensures system performance, minimizes downtime through automation, and supports the creation of actionable insights from clinical trial data.
Collaborating with product owners, architects, and engineers, the Data Engineer will design a next-generation metrics engine and implement data governance capabilities, including metadata and reference data management, to enhance analytics capabilities. Ideal candidates are detail-oriented professionals with strong technical skills, a problem-solving mindset, and a passion for advancing clinical operations through data engineering and analytics.
Roles & Responsibilities:
Proficiency in developing interactive dashboards and visualizations using Spotfire, Power BI, and Tableau to provide actionable insights.
Expertise in creating dynamic reports and visualizations that support data-driven decision-making and meet stakeholder requirements.
Ability to analyze complex datasets and translate them into meaningful KPIs, metrics, and trends.
Strong knowledge of data visualization best practices, including user-centric design, accessibility, and responsiveness.
Experience in integrating data from multiple sources (databases, APIs, data warehouses) into visualizations.
Skilled in performance tuning of dashboards and reports to optimize responsiveness and usability.
Ability to work with end-users to define reporting requirements, develop prototypes, and implement final solutions.
Familiarity with integrating real-time and predictive analytics within dashboards to enhance forecasting capabilities.
Basic Qualifications and Experience:
Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR
Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR
Diploma and 7 to 9 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills:
Proven hands-on experience with cloud platforms such as AWS, Azure, and GCP.
Development knowledge in Databricks.
Strong analytical and problem-solving skills to tackle complex data challenges, with expertise in using analytical tools like Spotfire, Power BI, and Tableau.
Good-to-Have Skills:
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Familiarity with SQL/NOSQL database, vector database for large language models
Familiarity with prompt engineering, model fine tuning
Professional Certifications
AWS Certified Data Engineer (preferred)
Databricks Certification (preferred)
Any SAFe Agile certification (preferred)
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Azure CI/CD Computer Science Databricks Data governance Data management Data pipelines Data visualization Engineering ETL GCP Git Jenkins KPIs LLMs Maven NoSQL Pipelines Power BI Prompt engineering PySpark Python Spotfire SQL Tableau Testing
Perks/benefits: Career development
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