Skills And Qualifications

Advanced Technical Expertise

Extensive experience in data engineering with deep understanding of the academic publishing industry

Expert-level proficiency in building ELT/ETL pipelines and working with data warehousing concepts

Advanced knowledge of data warehousing tools such as Snowflake, BigQuery, and PostgreSQL

Master-level skills in Python programming for data engineering and automation

Expert-level proficiency in SQL for complex data manipulation and optimization

Cloud Platform Mastery

Advanced proficiency in working with cloud platforms, particularly Google Cloud Platform (GCP)

Deep knowledge of GCP's data-related services and their optimal implementation

Experience with cloud-native data architecture and scalable data solutions

Understanding of cloud security, governance, and compliance requirements for data systems

Leadership and Problem-Solving

Excellent problem-solving and analytical skills with ability to identify and resolve complex data-related issues

Robust communication skills capable of working with cross-functional teams and stakeholders at all levels

Leadership experience in guiding data engineering initiatives and best practices





Ability to mentor and develop junior data engineers and technical team members

Data Engineering Excellence

Passion for data engineering with proven track record in academic publishing or related industries

Experience designing and implementing scalable data architectures

Knowledge of data governance, quality assurance, and regulatory compliance requirements

Understanding of marketing data requirements and analytics use cases

Professional Excellence

Proven ability to work independently and drive complex technical initiatives

Experience collaborating with business stakeholders to translate requirements into technical solutions

Track record of delivering high-quality data solutions that support business objectives

Commitment to continuous learning and staying current with data engineering best practices

Experience Requirements

Proven track record in the academic publishing industry or related research-focused organizations

Experience leading data engineering teams and initiatives

Background in building and maintaining enterprise-scale data systems

📌 Consultant (Pune)
🏢 Virtusa
📍 Pune