Senior Specialist, Lead Data Engineer

Job Description

Senior Data Engineer Specialist

The Opportunity

• Based in Hyderabad join a globalhealthcare 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 worlds 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 companys 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

We are seeking an experienced Lead Data Engineer to architect build and lead scalable data platforms. This role requires strong hands-on experience in AWS Spark Databricks and Airflow along with technical leadership capabilities to guide teams and establish best practices. This role requires deep expertise in data modelling modern data architectures along with exposure to Agentic AI systems and AI-driven data workflows.

What will you do in this role

• Lead the design and implementation of end-to-end data engineering solutions

• Architect and optimize large-scale data pipelines using Spark Python and SQL

• Design and manage orchestration frameworks using Apache Airflow

• Build scalable and cost-efficient solutions on AWS ecosystem (S3 Glue Redshift Lambda)

• Should have worked on Redshift Tables and must be aware of different distribution techniques.

• Drive development and optimization of Databricks-based data platforms . Unity Catalog and access control knowledge is required

• Mentor and guide data engineering teams

• Collaborate with cross-functional stakeholders to deliver business value

• Implement and drive CI/CD practices including GitHub Actions

• Ensure data platform scalability performance and reliability

• Design and implement scalable data models (conceptual logical physical) for enterprise data platforms

• Develop and maintain dimensional models (Star/Snowflake schemas) for analytics and reporting

• Build and optimize data Lakehouse architectures using Databricks & Delta Lake

• Define data standards naming conventions and modeling best practices

What Should you have

• Strong expertise in SQL Python and Apache Spark

• Extensive hands-on experience with Apache Airflow

• Deep experience with AWS cloud services (S3 Glue Redshift Lambda)

• Strong experience building solutions on Databricks platform

• Should have experience in DBT as well.

• Proven experience in data architecture modeling and big data systems

• Experience leading engineering teams and projects

• Strong analytical problem-solving and communication skills

Good to Have

• Experience with CI/CD tools especially GitHub Actions

• Knowledge of Pharmaceutical / Life Sciences domain

• Experience with real-time/streaming pipelines (Kafka etc.)

• Exposure to ML/data science workflows

Education & Experience

• Bachelors/Masters degree in Computer Science or related discipline

• Typically 9 years of experience in data engineering (Lead role)

Primary Skills.

• SQL Pyton
• PySpark
• Aws cloud Platform

Who we are

We are known as well-known org Inc. Rahway New Jersey USA in the United States and Canada and MSD everywhere else. For more than a century bringing forward medicines and vaccines for many of the worlds 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 usand start making your impact today.

#HYDIT2025

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Current Employees apply HERE

Current Contingent Workers apply HERE

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.

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