Senior Software Engineer II

Elsevier; Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Enhanced Health Insurance Options

Group Life Insurance

Flexible Working Arrangement

Employee Assistance Program

Medical Screening

Modern Family Benefits

Long-Service Awards

New Baby Gift

Subsidized Meals in Chennai

Paid Time Off

Free Transport

Job summary

Elsevier Health is seeking a Senior Data/Platform Engineer II to lead the design and implementation of large-scale data pipelines, microservices, and platform components. You will mentor teammates and collaborate with product and other engineering teams to deliver scalable data solutions.

The role focuses on Spark, Kafka, Databricks, and Scala, with AWS S3/EMR, Kubernetes, and CI/CD. You’ll contribute to a knowledge graph driven platform, improve performance, and help advance healthcare

Qualifications

• 5+ years of experience in software or data engineering.
• Hands-on with Spark, Kafka, Databricks and Scala.
• Knowledge of distributed systems and data modeling.
• Experience with graph-based data models or knowledge graphs.
• Proficient in AWS services such as S3, EMR, Athena/Glue, SQS.
• Experience with Git and CI/CD pipelines (Jenkins).

Responsibilities

• Design and develop scalable data processing workflows and microservices.
• Lead implementation of system components across services and mentor engineers.
• Collaborate with product and platform teams to deliver data products.
• Develop and maintain robust data models for analytical and operational needs.
• Promote best practices and drive continuous improvement in engineering.

Skills

Spark

Kafka

Scala

Java

AWS

Tools

Databricks

Kubernetes

Jenkins

Git

CI/CD

Job description

Are you a Systems Engineer looking for an innovative role?

Do you enjoy being part of a team that works with a diverse range of technology?

About Our Team

Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision‑making for our customers across global health. We support health providers by providing accessible, trusted evidence‑based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and supports a more personalized and localized healthcare experience. All for the benefit of every patient.

Our team is dedicated to unlocking the rich knowledge embedded within Elsevier’s content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier’s vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning. Through our dynamic knowledge discovery platform, we combine graph‑powered agentic AI with advanced search technologies to deliver contextually relevant, trustworthy, and precise answers. As part of the Data Engineering team, you’ll contribute to the systems and infrastructure that fuel this mission. This role focuses on building reusable platform components and delivering Data Products that enable scalable, reliable, and high‑performance data solutions across Elsevier’s ecosystem.

About The Role

We are looking for a Senior Data/Platform Engineer II who can lead the design and implementation of complex systems, mentor team members, and contribute to our evolving data engineering architecture. You’ll work on large‑scale data pipelines, orchestration frameworks, and services that support our data products — collaborating closely with product, platform, and other engineering teams to deliver impactful, high‑quality solutions.

Responsibilities

• Design and develop scalable data processing workflows and microservices using Spark, Kafka Streams, and Kubernetes.
• Write modular, testable Scala code following software engineering best practices and functional programming principles.
• Lead the implementation of system components across multiple services and troubleshoot complex issues in distributed data systems.
• Participate in architecture discussions, design reviews, and other engineering activities to deliver high‑quality solutions.
• Develop and maintain robust data models to support analytical and operational business requirements.
• Collaborate with cross‑functional stakeholders to translate business needs into scalable engineering solutions.
• Mentor junior engineers by supporting onboarding, technical guidance, and knowledge sharing.
• Drive continuous improvement initiatives by promoting engineering best practices and team collaboration.

Requirements

• 5+ years of professional experience in software or data engineering, with a strong track record in building and optimizing large‑scale batch and streaming data systems.
• Hands‑on experience with Spark, Kafka, Databricks, and Scala; Java knowledge is an added advantage.
• Strong understanding of distributed systems, performance optimization, and semantic technologies such as RDF and data modeling.
• Experience working with graph‑based data models or knowledge graph architectures.
• Proficiency in AWS services such as S3, EMR, Athena/Glue, and SQS, along with Infrastructure as Code (IaC) tools.
• Experience with software development practices, version control using Git, and CI/CD pipelines using tools such as Jenkins.
• Ability to independently drive technical solutions from design through deployment while working in Agile development environments.
• Experience building reusable engineering platforms and implementing observability best practices, including logging, monitoring, metrics, and alerting.

Working For You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Comprehensive Health Insurance: Covers you, your immediate family, and parents.
• Enhanced Health Insurance Options: Competitive rates negotiated by the company.
• Group Life Insurance: Ensuring financial security for your loved ones.
• Group Accident Insurance: Extra protection for accidental death and permanent disablement.
• Flexible Working Arrangement: Achieve a harmonious work‑life balance.
• Employee Assistance Program: Access support for personal and work‑related challenges.
• Medical Screening: Your well‑being is a top priority.
• Modern Family Benefits: Maternity, paternity, and adoption support.
• Long‑Service Awards: Recognizing dedication and commitment.
• New Baby Gift: Celebrating the joy of parenthood.
• Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
• Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
• Free Transport pick up and drop from the home -office - home (applies in Chennai)

About The Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.