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Apprentice – Data Ops Engineer

Salary

₹5 - 7 LPA

Min Experience

0 years

Location

Noida

JobType

Full Time

About the job

Info This job is sourced from a job board

About the role

Join Innovaccer's Data Engineering team as an Apprentice – Data Ops Engineer and contribute to transforming and analyzing healthcare data. This role offers a unique opportunity for fresh graduates and early-career professionals to gain hands-on experience in data engineering while impacting real-world healthcare challenges. Responsibilities Work closely with the Data Services team to transform and manipulate healthcare datasets. Assist in generating analytical reports for U.S. healthcare clients. Support the development of interface solutions between Innovaccer's Data Activation Platform and third-party systems. Implement and adhere to industry standards and best practices for data engineering. Monitor interface performance in production and optimize for high availability. Learn and apply data warehousing principles, including database tuning and indexing. Requirements Must belong to batches 2019 through 2024 with a degree in B.E/B.Tech/M.Tech in Computer Science or related field. Willingness to commit to a 1-year apprenticeship. Basic understanding of data modeling principles. Proficiency in writing basic SQL queries. Willingness to work with Python and libraries such as Numpy, Scipy, and Scikit-Learn. Interest in Business Intelligence tools like Power BI, Tableau, or Sisense. Strong problem-solving and analytical skills. Excellent communication skills in English (written and oral). Ability to multitask and manage priorities effectively.

About the company

Innovaccer, founded in 2014 and headquartered in San Francisco, California, is a leading healthcare technology company specializing in data activation platforms. As of March 31, 2023, the company reported an annual revenue of $49.5 million. Innovaccer employs approximately 1,441 individuals as of December 2022.

Skills

SQL
Python
NumPy
Scipy
Scikit-Learn
Power BI
Tableau
Sisense
Data Modeling
Database Performance Tuning
Query Optimization