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Innovaccer – Apprentice – Data Ops Engineer

Innovaccer – Apprentice – Data Ops Engineer

Innovaccer

Job Category Apprenticeship
Domain IT
Qualification B.E./B.Tech/M.Tech in Computer Science or a related field (2019, 2020, 2021, 2022 & 2023 batches)
Experience Freshers
Salary Best in Industry
Job Type Apprenticeship (Minimum 1 Year)
Work Mode Work From Office
Primary Location Noida, Uttar Pradesh
Target Locations Noida, Uttar Pradesh
Last Date ASAP
Application Mode Online

About the Role

The Apprentice – Data Ops Engineer will work with the Data Engineering team to analyze healthcare data, troubleshoot data issues, automate processes, and support customer success while gaining hands-on experience in data operations.

Basic Qualifications

B.E./B.Tech/M.Tech in Computer Science or a related field.
2019, 2020, 2021, 2022, or 2023 graduating batch.
Available for a minimum one-year apprenticeship.
Basic understanding of data modeling concepts.
Basic knowledge of SQL.

Preferred Qualifications

Knowledge of Python libraries such as NumPy, SciPy, and Scikit-Learn.
Familiarity with BI tools like Power BI, Tableau, or Sisense.
Strong analytical and problem-solving skills.
Good verbal and written communication skills.
Ability to multitask and learn quickly.

Responsibilities

Troubleshoot data issues across multiple customers.
Analyze and resolve analytics and product-related tickets.
Perform L1/L2 debugging for critical issues.
Identify automation opportunities in existing processes.
Work with scheduling jobs and scripts.
Maintain documentation and version control.
Manage handover processes with team leads.
Handle Jira tickets and monitor SLA compliance.
Collaborate with cross-functional teams to resolve customer issues.

Required Skills

SQL
Data Modeling
Python
Data Engineering
Troubleshooting
Jira
Problem Solving
Analytical Skills
Communication Skills
Documentation

Preferred Skills

NumPy
SciPy
Scikit-Learn
Power BI
Tableau
Sisense
Automation
Version Control
Team Collaboration
Multitasking

Benefits

Hands-on experience in Data Engineering.
Opportunity to work on healthcare data projects.
Exposure to modern data analytics tools.
Learning and career development opportunities.
Collaborative work environment.

Selection Process

Online Application
Resume Screening
Technical Assessment (if applicable)
Technical Interview
HR Interview
Final Selection and Onboarding

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