Cencora Data Engineer I Jobs 2026 | Pune | Freshers & 0–2 Years

Cencora is hiring a Data Engineer I – Data Engineering for its Pune location. This is a full-time opportunity for early-career professionals who want to build analytics and data engineering solutions that directly impact healthcare outcomes.

The role focuses on data modeling, analytics, machine learning support, and data quality, working closely with business stakeholders and subject matter experts to translate complex data into meaningful insights.

Quick Job Overview

Table 1: Job Details

Table 2: Education & Eligible Batches

Role Overview – Data Engineer I at Cencora

As a Data Engineer I, you will support analytics and data science initiatives by building data models, performing complex analysis, and enabling machine learning workflows. The role requires a mix of technical skills, analytical thinking, and business understanding, with direct exposure to healthcare datasets and enterprise data platforms.

You will contribute to improving data quality, automating analytics solutions, and supporting decision-making across critical business functions.

Key Responsibilities

• Work with business stakeholders to identify analytics-driven opportunities and solutions
• Design and develop analytics models using hypothesis-driven approaches
• Translate raw data into insights with scenario analysis and measurable business impact
• Collaborate with teams to identify and integrate relevant data sources for ML models
• Design and develop moderately complex analytical algorithms
• Build and maintain semantic, logical, and physical data models
• Perform data profiling and data quality improvement procedures
• Support development of automated data and analytics solutions
• Code, test, debug, and document data processing programs
• Enhance existing data pipelines to meet evolving user requirements
• Design customer-specific reports with customized data elements
• Solve complex technical problems using innovative data engineering techniques

Required Skills & Knowledge

Technical Skills

• Data modeling and data management
• Data governance and data quality assurance
• Advanced statistical analysis
• Big data analysis tools and techniques
• Programming: SQL, Python, R

Tools & Technologies

• BI tools: Tableau, Power BI, Alteryx, QlikSense
• Statistical tools: SAS, SPSS
• Microsoft Office Suite

Behavioral Skills

• Critical thinking and problem-solving
• Creativity and innovation
• Strong prioritization and organizational skills
• Multitasking and stakeholder collaboration
• Ability to influence through insights

Why Join Cencora?

Cencora operates at the center of global healthcare, enabling better outcomes for people and animals worldwide. Employees work on meaningful problems, gain exposure to large-scale healthcare data systems, and grow in a culture that values innovation, inclusion, and impact.

Cencora is an equal opportunity employer and is committed to accessibility and workplace inclusion.

FAQs – Data Engineer I at Cencora

1. What does a Data Engineer I do at Cencora?
A Data Engineer I works on data modeling, analytics, and data quality initiatives to support business decisions and healthcare insights.

2. Is this role suitable for freshers?
Yes. Candidates with 0–2 years of experience are eligible, including fresh graduates with strong data engineering or analytics skills.

3. Is this a data science or data engineering role?
This is primarily a data engineering role with exposure to analytics and machine learning support.

4. What educational background is required?
A bachelor’s degree in Statistics, Computer Science, IT, or a related discipline is required.

5. Are certifications mandatory?
Certifications are not mandatory but advanced analytics or SAS certifications are considered an advantage.

6. Is this a work-from-home role?
No. This is a full-time, office-based role located in Pune.

7. What programming languages are required?
SQL, Python, and R are preferred for this role.

8. Will I work with machine learning models?
Yes. You will support ML initiatives by preparing data, identifying sources, and collaborating with data science teams.

9. What tools should I be familiar with?
BI tools like Tableau or Power BI and statistical tools like SAS or SPSS are preferred.

10. What career growth opportunities are available?
Employees can grow into roles such as Senior Data Engineer, Analytics Specialist, or Data Scientist based on performance and skill development.

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