Innovaccer Hiring BE/B.Tech, M.Tech Freshers As Data Engineer | 4-6 LPA*
Innovaccer, a leading healthcare technology company, is hiring freshers with BE/B.Tech, M.Tech degrees as Data Engineers. Data Engineers are responsible for designing, building, and maintaining data pipelines that collect, store, and process vast amounts of data. They play a critical role in ensuring that data is accessible, reliable, and secure to support Innovaccer’s data-driven healthcare solutions.
Innovaccer Off Campus Drive 2024 Details :
| Job Role | Apprentice – Data Engineer |
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| Education | BE/B.Tech/ME/M.Tech |
| Batch | 2019,2020,2021,2022,2023 |
| Package | 4-6 LPA* |
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About Job :
As an Apprentice- Data Engineer, you will be an integral part of our Data Engineering team, working towards transforming and analyzing healthcare data to contribute to the enhancement of population health and the reduction of healthcare costs. This role offers a unique opportunity for a self-starter with a passion for data engineering to learn and grow within a dynamic and innovative environment.
A Day in the Life
- Collaborate with the data services team to manipulate and transform healthcare data effectively.
- Assist in the creation of analytical reports tailored for US healthcare customers.
- Contribute to the design and development of interfaces facilitating workflows between the Data Activation Platform and third-party client systems.
- Follow industry best practices and standards while defining and documenting best practices and message specifications.
- Monitor and optimize interface configurations for high availability once deployed in production environments.
- Gain an understanding of data warehousing concepts and implement best practices.
What You Need
- B.E/ B. Tech/ M. Tech in computer science , or related field of batch 2019,2020,2021, 2022 and 2023 only.
- Must be available for apprenticeship tenure of minimum 1 year.
- Basic understanglading of data modeling concepts.
- Exposure to SQL and the ability to write simple queries.
- Eagerness to learn and work with Python libraries, such as Numpy, Scipy, Scikit-Learn.
- Interest in BI tools like Power BI, Tableau, or Sisense.
- Strong analytical and problem-solving skills.
- Excellent oral and written communication skills.
- Enthusiasm for multitasking and managing multiple tasks simultaneously.