Consulting Data Engineer
Elsevier is seeking a Principal Data Engineer to lead the evolution of their healthtech data platform. The role involves designing scalable batch and streaming solutions, mentoring team members, and bridging technical requirements with stakeholders. Candidates must have deep expertise in Python, PySpark, AWS, and modern data stack tools like Snowflake and DBT. This position focuses on delivering high-quality, reliable data platforms within a collaborative, health-focused environment.
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Experience
8+ years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Elsevier is seeking a Principal Data Engineer to lead the evolution of their healthtech data platform. The role involves designing scalable batch and streaming solutions, mentoring team members, and bridging technical requirements with stakeholders. Candidates must have deep expertise in Python, PySpark, AWS, and modern data stack tools like Snowflake and DBT. This position focuses on delivering high-quality, reliable data platforms within a collaborative, health-focused environment.
TAL's take
Strong role with clear technical leadership expectations at a reputable global organization.
Highly specific JD outlining responsibilities, technical stack, and team context clearly.
Salaries at Elsevier
24.0 LPA average
Based on 1 Grapevine salary entries for Elsevier.
Other roles
6 - 8 years | Senior Software Engineer
24 LPA average
Range: 24 - 24 LPA
Must haves
- 8+ years experience in data engineering or data platform development
- Strong hands-on experience with Python, PySpark, SQL, AWS, Kafka, Snowflake, DBT, Terraform
- Experience designing both batch and real-time data pipelines
- Experience working in Agile/Scrum environments
- Excellent stakeholder communication and leadership skills
- Experience guiding and mentoring engineers
Tools and skills
About the company
Established global information and analytics company with a significant footprint, but not a Tier-1 tech pure-play.