Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Hyderabad
>
Merck Sharp & Dohme (MSD)
>
Manager, Data Engineer

Manager, Data Engineer

Merck Sharp & Dohme (MSD)

4 - 8 years

6 - 10 Lacs

Hyderabad

Posted:1 day ago| Platform:

Apply

Skills Required

Data analysis Data management Data modeling Healthcare Manager Quality Control data visualization Business intelligence Information technology SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Manager, Data Engineer

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers .

Role Overview:

For the Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines. We intend to make data reliable, governed, secure and available for analytics within the organization. As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models. We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes.

What will you do in this role:

Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse.

Develop the various data transformation rules and data modeling capabilities.

Collaborate with Data Analyst, Data Scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling.

Work with data governance team and implement data quality checks and maintain data catalogs.

Use Orchestration, logging, and monitoring tools to build resilient pipelines.

Use test driven development methodology when building ELT/ETL pipelines.

Develop pipelines to ingest data into cloud data warehouses.

Analyze data using SQL.

Use serverless AWS services like Glue, Lambda, Step Functions

Use Terraform Code to deploy on AWS.

Containerize Python code using Docker.

Use Git for version control and understand various branching strategies.

Build pipelines to work with large datasets using PySpark

Develop proof of concepts using Jupyter Notebooks

Work as part of an agile team.

Create technical documentation as needed.

What Should you have:

4-8 years of relevant experience

Good experience with AWS services like S3, ECS, Fargate , Glue,

Any AWS developer or architect certification

Agile development methodology

Step Functions , CloudWatch, Lambda, EMR

Proficient in Python, PySpark

Good with Git, Docker, Terraform

Ability to work in cross functional teams

Bachelor s Degree or equivalent experience in a relevant field such as Engineering (preferably computer eng ineers .), Computer Scienc e

Our t echnology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation .

Who we are:

What we look for:

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, S you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us and start making your impact today.

#HYDIT2025

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Agile Application Development, Agile Application Development, Agile Methodology, Branching Strategy, Business, Business Intelligence (BI), Business Partnerships, Computer Science, Database Administration, Data Engineering, Data Management, Data Modeling, Data Pipelines, Data Quality Control, Data Visualization, Design Applications, Digital Transformation, Information Management, Information Technology Operations, IT Operation, Management Process, Social Collaboration, Software Development, Software Development Life Cycle (SDLC), SQL Data Analysis {+ 1 more}

Preferred Skills:

Job Posting End Date:

07/31/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

More Jobs at Merck Sharp & Dohme (MSD)

Manager, Cybersecurity Engineering Cloud and App Security

Hyderabad

7 - 12 yrs

INR 9 - 14 Lacs

Manager, Data Platform & Products - Data Engineering

Hyderabad

3 - 8 yrs

INR 5 - 10 Lacs

Senior Manager, MDM Technical Specialist

Hyderabad

7 - 12 yrs

INR 9 - 14 Lacs

Senior Manager, Network Automation Senior Developer

Hyderabad

7 - 12 yrs

INR 9 - 14 Lacs

Manager, Data Platform & Products - Data Engineering

Hyderabad

5 - 10 yrs

INR 7 - 12 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Business Intelligence Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Merck Sharp & Dohme (MSD)

Pharmaceuticals

Kenilworth

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Manager, Data Engineer