Innovaccer Hiring Drive 2024: Innovaccer Hiring Drive 2024 for its Apprentice – Data Engineer. Innovaccer Drive organizes off-campus drives for candidates in 2020,2021, 2022, 2023,2024 batches. To apply, candidates should have a B.E/ B. Tech/ M. Tech in computer science or a related field. if you are interested, please apply as soon as possible.
Company Name: Innovaccer
Role: Apprentice – Data Engineer
Location: Noida
Experience: 0 – 1 years
Qualification: B.E/ B. Tech/ M. Tech in computer science, or related field
Batch: 2020,2021, 2022, 2023,2024
Job Type: Full Time
Salary: 6.0 To 12.0 LPA (Expected)
Innovaccer Hiring Drive 2024
Job Description:
- 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.
Requirements:
- B.E/ B. Tech/ M. Tech in computer science , or related field of batch 2020,2021, 2022 , 2023 and 2024 only.
- Must be available for apprenticeship tenure of minimum 1 year.
- Basic understanding 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
Responsibility:
- 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.
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