Data Engineer
Amgen is seeking a Data Engineer to build and optimize data infrastructure within the healthtech domain. You will design and implement robust data pipelines, managing environments on AWS and Databricks. The role focuses on ensuring data integrity and optimizing system performance to support predictive modeling. You will work within a cross-functional team to translate business requirements into technical data solutions.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Amgen is seeking a Data Engineer to build and optimize data infrastructure within the healthtech domain. You will design and implement robust data pipelines, managing environments on AWS and Databricks. The role focuses on ensuring data integrity and optimizing system performance to support predictive modeling. You will work within a cross-functional team to translate business requirements into technical data solutions.
TAL's take
Solid role at a globally recognized biotech company with clear technological focus and well-defined responsibilities.
The JD provides a very clear scope of work, listing specific platforms (AWS, Databricks) and primary tools (SQL, Python, PySpark).
Salaries at Amgen
29.6 LPA average
Based on 5 Grapevine salary entries for Amgen.
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8 - 10 years
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10 - 12 years
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Must haves
- Proficient in SQL for data extraction and transformation
- Ability to optimize query performance on big data platforms
- Proficient in Python, PySpark, and Airflow for data pipelines
- Strong problem-solving and analytical skills
- Excellent communication and teamwork skills
Tools and skills
Nice to have: nosql, vector database, apache spark, apache airflow, git, jenkins, maven, gcp, azure.
About the company
Global biotechnology leader, well-established but not primarily a software-first tier 1 company.
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