hero

Portfolio Careers

Discover opportunities across our network of portfolio companies.
Vertex Ventures HC
companies
Jobs

Specialist, Data Engineer

EyeBio

EyeBio

Data Science
Hyderabad, Telangana, India
Posted on Mar 13, 2026

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 world's greatest health threats.

Our Technology Centres 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 Centres.

Role Overview

The Data Engineer will design, build, and operationalize scalable data pipelines that power AI-driven cyber defense, automation, and platform-level enforcement. This role supports autonomous security capabilities by engineering high-volume telemetry ingestion, normalization, enrichment, and persistence across Microsoft Defender XDR, Sentinel, ADX, Databricks, and enterprise data sources.

This is not a reporting role. This position enables real-time decisioning, AI model execution, ontology-driven entity resolution, and automation workflows that reduce manual security operations and prevent incidents before they occur.

  • Engineer and maintain high-volume, near–real-time ingestion pipelines (endpoint, identity, cloud, application, threat intel telemetry).

  • Build and optimize data transformations in ADX, Sentinel, Databricks, and related platforms.

  • Develop canonical data models and normalized schemas to support AI/ML workflows and ontology initiatives.

  • Implement entity resolution logic (identity, device, service, resource relationships).

  • Design enrichment pipelines that attach context (risk scores, threat intel, behavioral patterns) to raw telemetry.

  • Support AI/ML engineers by delivering clean, structured, production-ready feature sets.

  • Optimize query performance and cost efficiency across large-scale datasets (tens of millions of events per hour).

  • Integrate telemetry outputs into automation layers (e.g., enforcement workflows, platform controls, kill switches).

  • Build data quality validation, monitoring, and observability mechanisms.

  • Partner with Platform Engineering and AI/Data Science verticals to enable autonomous defense capabilities.

Required Skills:

Data Engineering, Design Applications, Information Security, Machine Learning (ML), Software Development, Software Development Life Cycle (SDLC), System Designs, System Integration, Testing

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Secondary Language(s) Job Description:

What will you do in this role

  • 3–6+ years of hands-on data engineering experience.

  • Strong experience with Python and SQL.

  • Experience building scalable data pipelines in cloud environments (Azure preferred).

  • Familiarity with distributed data processing frameworks (Databricks, Spark, or equivalent).

  • Experience handling high-volume streaming or near-real-time telemetry.

  • Strong understanding of data modelling and schema design.

  • Ability to optimize large-scale queries and troubleshoot performance bottlenecks.

  • Experience working cross-functionally with engineering and analytics teams.

  • Bachelor’s degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).

What should you have

  • Experience working with Microsoft Defender XDR, Sentinel, Azure Data Explorer (KQL), or similar SIEM/XDR platforms.

  • Background in cybersecurity telemetry, identity data, endpoint data, or threat intelligence feeds.

  • Experience supporting AI/ML model development pipelines.

  • Familiarity with ontology-driven design, entity graphs, or canonical data structures.

  • Experience building production-grade feature stores.

  • Exposure to automation workflows (Logic Apps, ServiceNow integrations, API orchestration).

  • Knowledge of OCSF or similar normalization standards.

What Success Looks Like

Within 6 months, this engineer will:

  • Successfully support ingestion and normalization of high-volume telemetry streams without performance degradation.

  • Deliver clean, enriched datasets that enable AI-driven risk scoring and autonomous enforcement.

  • Reduce manual data wrangling for AI/ML engineers by providing production-ready feature pipelines.

  • Improve query efficiency and reduce latency for decision-critical workflows.

  • Contribute to building the data foundation required for autonomous, platform-level cyber defense.

Within 12 months, this engineer will:

  • Own critical telemetry pipelines powering enterprise-scale automation.

  • Enable measurable reductions in manual triage and ticket volume through engineered data solutions.

  • Be recognized as a core enabler of AI-driven cyber defense outcomes.

Who we are

We are known as MSD & 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 lives, 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.
#HYDIT2026

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

03/20/2026

*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.