Job Description
Senior Data Engineer-I
Would you like to be part of a team that delivers high-quality software to our customers?
Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others?
About Our Team
Data Engineering - RDP-Consumption domain business delivery.
About The Role
We are looking for a highly skilled Data Engineer to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and AI/ML initiatives. You will collaborate with cross-functional teams, mentor junior engineers, and contribute to data architecture and engineering best practices.The ideal candidate has extensive experience in data engineering, distributed systems, and strong analytical and problem-solving skills. You will help drive an AI-first data engineering approach by enabling scalable, high-quality data foundations that support advanced analytics, automation, and AI-driven solutions across the organization .
Responsibilities
• Implementing data engineering processes and best-practice reviews in an Agile environment to ensure the delivery of high-quality data products and solutions.
• Designing, developing, and maintaining scalable, reliable, and architecturally sound data pipelines and data platforms.
• Collaborating with senior technical members, data scientists, analysts, and product owners to understand complex business and data requirements and translate them into robust data solutions.
• Building and optimizing batch and real-time data processing systems using modern big data and cloud technologies.
• Collaborating with data science and AI teams to build and optimize data pipelines that support machine learning and AI-driven solutions.
• Identifying opportunities to leverage AI-assisted development, automation, and intelligent data processing to improve engineering efficiency and platform capabilities.
• Taking ownership of complex data-related technical issues to ensure successful project delivery and data reliability.
• Ensuring data quality, governance, security, and compliance across enterprise data platforms.
• Mentoring and guiding junior team members in data engineering practices, coding standards, and platform optimization.
• Monitoring and improving data pipeline performance, scalability, and operational efficiency.
• Keeping up to date with emerging technologies and industry trends in data engineering, cloud computing, analytics platforms, and AI-enabled solutions.
Requirements
• Expertise in programming and data engineering technologies including but not limited to: Python, Scala, SQL, Java, Spark, Kafka, and Airflow.
• Strong understanding of scalable system design, distributed computing, and performance optimisation techniques.Strong experience with ETL processes, data ingestion frameworks, and distributed data processing systems.
• Expertise with relational SQL and NoSQL databases, data warehousing concepts, and cloud platforms such as AWS.
• Experience with big data technologies and ecosystem tools such as Spark, Hadoop, Databricks, Snowflake.
• Strong understanding of data modelling, schema design, data architecture, metadata management, and data governance best practices.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code principles for data platforms.
• Familiarity with AI/ML data pipelines, feature engineering workflows, and supporting infrastructure for analytics and machine learning applications.
• Exposure to modern AI-enabled engineering practices, including automation, intelligent monitoring, or AI-assisted development tools, is a plus.
• An understanding of data quality and governance principles is required for reliable AI and analytics solutions.
• Ability to administer successful project delivery and solve complex problems through innovation, prototyping, risk assessment, and solution evaluation.
• Expertise in data optimization, tuning, monitoring, and troubleshooting to ensure high availability and performance of enterprise data systems.
• Strong organizational, project planning, time management, and stakeholder communication skills across multiple functional groups and departments.
• Experience mentoring junior engineers and leading technical discussions and architectural decision-making.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field preferred.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of * years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
Benefits
At Elsevier, 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:
• Group Health Insurance Policy (covering self and family)
• Group Life insurance/accident policy
• Generous long-service awards
• New Baby gift
• Subsidised food provided (applies to India- Bangalore/Chennai)
• Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
• Free Transport provided to and from the office (applies to India-Bangalore/Chennai)
About Us
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. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
Would you like to be part of a team that delivers high-quality software to our customers?
Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others?
About Our Team
Data Engineering - RDP-Consumption domain business delivery.
About The Role
We are looking for a highly skilled Data Engineer to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and AI/ML initiatives. You will collaborate with cross-functional teams, mentor junior engineers, and contribute to data architecture and engineering best practices.The ideal candidate has extensive experience in data engineering, distributed systems, and strong analytical and problem-solving skills. You will help drive an AI-first data engineering approach by enabling scalable, high-quality data foundations that support advanced analytics, automation, and AI-driven solutions across the organization .
Responsibilities
• Implementing data engineering processes and best-practice reviews in an Agile environment to ensure the delivery of high-quality data products and solutions.
• Designing, developing, and maintaining scalable, reliable, and architecturally sound data pipelines and data platforms.
• Collaborating with senior technical members, data scientists, analysts, and product owners to understand complex business and data requirements and translate them into robust data solutions.
• Building and optimizing batch and real-time data processing systems using modern big data and cloud technologies.
• Collaborating with data science and AI teams to build and optimize data pipelines that support machine learning and AI-driven solutions.
• Identifying opportunities to leverage AI-assisted development, automation, and intelligent data processing to improve engineering efficiency and platform capabilities.
• Taking ownership of complex data-related technical issues to ensure successful project delivery and data reliability.
• Ensuring data quality, governance, security, and compliance across enterprise data platforms.
• Mentoring and guiding junior team members in data engineering practices, coding standards, and platform optimization.
• Monitoring and improving data pipeline performance, scalability, and operational efficiency.
• Keeping up to date with emerging technologies and industry trends in data engineering, cloud computing, analytics platforms, and AI-enabled solutions.
Requirements
• Expertise in programming and data engineering technologies including but not limited to: Python, Scala, SQL, Java, Spark, Kafka, and Airflow.
• Strong understanding of scalable system design, distributed computing, and performance optimisation techniques.Strong experience with ETL processes, data ingestion frameworks, and distributed data processing systems.
• Expertise with relational SQL and NoSQL databases, data warehousing concepts, and cloud platforms such as AWS.
• Experience with big data technologies and ecosystem tools such as Spark, Hadoop, Databricks, Snowflake.
• Strong understanding of data modelling, schema design, data architecture, metadata management, and data governance best practices.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code principles for data platforms.
• Familiarity with AI/ML data pipelines, feature engineering workflows, and supporting infrastructure for analytics and machine learning applications.
• Exposure to modern AI-enabled engineering practices, including automation, intelligent monitoring, or AI-assisted development tools, is a plus.
• An understanding of data quality and governance principles is required for reliable AI and analytics solutions.
• Ability to administer successful project delivery and solve complex problems through innovation, prototyping, risk assessment, and solution evaluation.
• Expertise in data optimization, tuning, monitoring, and troubleshooting to ensure high availability and performance of enterprise data systems.
• Strong organizational, project planning, time management, and stakeholder communication skills across multiple functional groups and departments.
• Experience mentoring junior engineers and leading technical discussions and architectural decision-making.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field preferred.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of * years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
Benefits
At Elsevier, 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:
• Group Health Insurance Policy (covering self and family)
• Group Life insurance/accident policy
• Generous long-service awards
• New Baby gift
• Subsidised food provided (applies to India- Bangalore/Chennai)
• Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
• Free Transport provided to and from the office (applies to India-Bangalore/Chennai)
About Us
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. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Engineer I position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
