Thermo Fisher Scientific is hiring for the position of Data Engineer II in Bangalore, India. Candidates with Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Thermo Fisher Scientific |
| Position | Data Engineer II |
| Qualifications | Bachelor’s Degree |
| Experience | Experienced |
| Location | Bangalore, India |
Key Responsibilities:
- Design and implement analytical models to support data-driven decision-making and business objectives.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and actionable insights from complex datasets.
- Develop and present data-driven insights to support strategic planning and organizational initiatives.
- Utilize advanced tools and technologies to analyze data and enhance analytical capabilities.
- Contribute to impactful projects that deliver measurable business value and real-world outcomes.
- Collaborate with cross-functional teams and skilled professionals in a dynamic and innovation-driven environment.
- Continuously enhance technical and analytical skills while contributing to professional growth and organizational success.
Eligibility Criteria:
- Holds an advanced degree with no prior experience required, or a Bachelor’s degree with at least 2 years of experience in applied data science or a related field.
- Possesses an academic background in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Has additional certifications in machine learning, artificial intelligence, or data science, which are considered an added advantage.
- Demonstrates strong proficiency in Python, SQL, and commonly used data analysis tools.
- Possesses expertise in machine learning algorithms, statistical modeling, and data visualization techniques.
- Has experience working with cloud platforms such as AWS or Azure and modern data architecture frameworks.
- Demonstrates proficiency in data engineering concepts, including ETL (Extract, Transform, Load) processes.
- Has hands-on experience with big data technologies such as Databricks and Apache Spark.
- Possesses knowledge of generative AI and natural language processing (NLP) concepts and applications.
- Demonstrates a strong understanding of statistical methodologies, hypothesis testing, and experimental design.
- Has experience using data visualization tools such as Power BI or Tableau to present insights effectively.
- Possesses excellent analytical thinking and problem-solving skills with the ability to work with complex datasets.
- Demonstrates strong communication skills and the ability to present technical findings clearly to both technical and non-technical stakeholders.
- Has experience working in cross-functional and matrixed organizational environments.
- Demonstrates a proven ability to deliver impactful, data-driven solutions that support business objectives.
- Shows the ability to work independently while also collaborating effectively within team environments.
- Has experience using version control systems such as Git for source code management.
- Demonstrates flexibility and willingness to travel as required, up to 25% depending on business needs.
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
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