Specialist, Data Streaming Platform Engineer

Job Description

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 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 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

We are looking for a Senior Engineer, Data Streaming Platform to build, optimize, and scale our enterprise data streaming capabilities across Confluent Cloud-Kafka, Databricks Structured Streaming, Delta Live Tables (DLT), and connectors across various data sources and targets.

This is a hands-on platform engineering role where youll evaluate new features, develop reusable components, drive cost and performance optimizations, build automation, and explore AI-assisted productivity improvements. Youll partner closely with engineers, architects, stakeholders, and vendor support to deliver scalable, reliable, and standards-based solutions.

While data streaming is the primary focus, youll work within a broader ecosystem that includes platforms like dbt, Airflow, and other data integration and compute tools. Adaptability and willingness to learn across technologies are essential.

What will you do in this role

Design, build, and maintain streaming platform capabilities across Confluent Cloud Kafka and Databricks

Build and support connectors and integrations across multiple data sources and targets

Evaluate new platform features and perform POCs/prototypes

Drive cost optimization and right-sizing initiatives

Develop automation, reusable components, and accelerators

Identify and apply AI-assisted productivity improvements to engineering workflows

Integrate streaming capabilities with other platforms in the ecosystem

Partner with stakeholders to understand requirements and provide technical guidance

Collaborate with architects, vendor support, and peer engineers

Lead and mentor engineers through design discussions and implementation guidance

Adhere to and promote engineering standards and best practices

What should you have

Primary Skill: Confluent Cloud Kafka | Databricks Structured Streaming | Delta Live Tables

Strong platform engineering or data platform engineering experience

Deep experience with Confluent Cloud Kafka or similar event streaming platforms

Experience with Databricks Structured Streaming and/or Delta Live Tables (DLT)

Proficiency in Python

Experience with CI/CD, GitHub Actions, and Terraform

Strong understanding of AWS concepts and services

Solid understanding of general networking concepts

Experience developing reusable components, accelerators, and automation tooling

Strong analytical, troubleshooting, and problem-solving skills

Strong communication and stakeholder engagement skills

General knowledge of data integration and compute platforms

Preferred Skills

Experience with dbt, Airflow, or other data integration ecosystem tools

Experience with streaming connectors, schema evolution, and event-driven architectures

Platform scaling, workload tuning, and observability for streaming systems

Familiarity with testing automation tools such as Xray and Robot Framework

Familiarity with AI agent development or AI-enabled engineering workflows

Experience engaging with enterprise vendors and support organizations

Experience mentoring engineers or guiding technical design decisions

Soft Skills

Clear and effective communicator across technical and non-technical audiences

Ability to lead engineers and guide design solutions

Strong stakeholder management and relationship building

Comfortable engaging with architects and vendor support teams

Ownership mindset with accountability for outcomes

Commitment to standards, best practices, and engineering quality

Adaptable, curious, and eager to learn new platforms

Strong analytical thinking and structured problem solving

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 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 us—and start making your impact today.

#HYDIT2025

Required Skills:

Apache Kafka, Confluent Platform, Databricks Delta Live Tables, Databricks Platform

Preferred Skills:

Current Employees applyHERE

Current Contingent Workers applyHERE

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:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

07/15/2026*A job posting is effective until 11:59:59PM on the dayBEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFORE the job posting end date.

Requisition ID: R402227