Senior Data Engineer I

Responsibilities

• Design, develop, and maintain scalable, reliable, and architecturally sound data pipelines and platforms.
• Build and optimize batch and real-time data processing systems using modern big data and cloud technologies.
• Collaborate with data scientists, analysts, and product owners to translate complex business requirements into robust data solutions.
• Implement data engineering processes and best-practice reviews within an Agile environment.
• Support AI/ML initiatives by building optimized data pipelines for machine learning and feature engineering workflows.
• Ensure data quality, governance, security, and compliance across enterprise data platforms.
• Mentor junior engineers in coding standards, data engineering practices, and platform optimization.
• Monitor and improve data pipeline performance, scalability, and operational efficiency.

Requirements

• Expertise in programming languages including Python, Scala, SQL, and Java.
• Strong experience with big data technologies such as Spark, Kafka, Airflow, Hadoop, Databricks, and Snowflake.
• Proficiency with cloud platforms, specifically AWS.
• Deep understanding of ETL processes, data ingestion frameworks, and distributed computing.
• Strong knowledge of data modeling, schema design, and data architecture.
• Experience with relational SQL and NoSQL databases.
• Hands-on experience with containerization and orchestration using Docker and Kubernetes.
• Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code.
• Ability to solve complex problems through innovation, prototyping, and risk assessment.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• Exposure to modern AI-enabled engineering practices, including automation and AI-assisted development tools.
• Experience with AI/ML data pipelines and supporting infrastructure for analytics.

Benefits

• Group Health and Life insurance policies.
• Generous long-service awards and new baby gifts.
• Subsidised food (applicable to Bangalore/Chennai locations).
• Comprehensive leave policy including Casual, Sick, Privilege, and Maternity/Paternity leave.
• Free transport to and from the office (applicable to Bangalore/Chennai locations).
• Flexible working hours to support work-life balance.

About the Company

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. By combining high-quality content with powerful analytics, we transform complexity into clarity to support visionary science, research, and clinical practice.