Manager, Senior Data Engineer
IND - Telangana - Hyderabad (HITEC City), India
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
Manager Senior Data Engineer
The Opportunity
- 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.
- Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
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 our company’s 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
- Designs, builds, and maintains data pipeline architecture - ingest, process, and publish data for consumption.
- Batch processes collected data, formats data in an optimized way to bring it analyze-ready
- Ensures best practices sharing and across the organization
- Enables delivery of data-analytics projects
- Develops deep knowledge of the company's supported technology; understands the whole complexity/dependencies between multiple teams, platforms (people, technologies)
- Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
- Understands the customer and stakeholders business needs/priorities and helps building solutions that support our business goals
- Establishes and manages the close relationship with customers/stakeholders
- Has overview of the date engineering market development to be able to come up/explore new ways of delivering pipelines to increase their value/contribution
- Builds “community of practice” leveraging experience from delivering complex analytics projects
- Is accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance and excellent user experience
- Contributes to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering or a related field.
- 3+ plus years of experience as a Data Engineer or in a similar role, with a strong portfolio of data projects.
- 3+ plus years experience SQL skills, with the ability to write and optimize queries for large datasets.
- 1+ plus years experience and proficiency in Python for data manipulation, automation, and pipeline development.
- Experience with Databricks including creating notebooks and utilizing Spark for big data processing.
- Strong experience with data warehousing solution (such as Snowflake), including schema design and performance optimization.
- Experience with data governance and quality management tools, particularly Collibra DQ.
- Strong analytical and problem-solving skills, with an attention to detail.
Our technology 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:
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
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, 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
Secondary Language(s) Job Description:
In light of the current state of the AHIT commercial data and analytics function, it is imperative to address the limitations posed by relying on multiple HCL contractors who primarily possess ETL/Informatica skills but lack the essential data engineering expertise. This gap hinders the seamless flow of data through the AHIT digital backbone, which is critical for the successful implementation of the JEDI strategy.
The future state envisioned by Merck IT emphasizes a strategic shift towards reducing contractor expenditures by developing in-house capabilities. By leveraging the Hyderabad tech center, we can cultivate a skilled team of data engineers who are not only proficient in ETL processes but also possess the advanced data engineering skills necessary to optimize our data infrastructure. This transition will enable us to enhance data accessibility, improve data quality, and facilitate a frictionless data flow, ultimately supporting the overarching goals of the JEDI strategy.
Investing in the hiring of dedicated data engineers will yield significant long-term benefits, including reduced operational costs, increased agility in data management, and the ability to innovate and adapt to evolving business needs. By fostering a robust in-house data engineering team, we can ensure that our data capabilities align with Merck's strategic objectives, driving efficiency and effectiveness across the organization
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business, Business, Business Intelligence (BI), Business Management, Contractor Management, Cost Reduction, Database Administration, Database Optimization, Data Engineering, Data Flows, Data Infrastructure, Data Management, Data Modeling, Data Optimization, Data Quality, Data Visualization, Design Applications, Information Management, Management Process, Operating Cost Reduction, Productivity Improvements, Project Engineering, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more}Preferred Skills:
Job Posting End Date:
08/20/2025*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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Business Intelligence Computer Science Databricks Data governance Data management Data quality Data visualization Data Warehousing Engineering ETL Informatica Pipelines Python Research SDLC Snowflake Spark SQL
Perks/benefits: Health care Relocation support Startup environment
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