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Mid-level data engineering role, metro Chennai, generalist skills and broad requirements drive high candidate competition.
Core data engineering skills transfer across industries, but Collibra/governance experience increases domain specificity.
Explicit 3–6+ years and required data engineering skills make shortlisting moderately strict.
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Build and scale automated Data Governance capabilities by designing technical solutions that reduce manual effort and improve data quality and compliance across Pearson’s data ecosystem.
Configure and extend Collibra Data Governance platform, integrating with data platforms to enable automated metadata ingestion, lineage, and governance workflows.
Develop and maintain data pipelines, APIs, and integrations aligned with governance standards for quality, lineage, and security, collaborating with global stakeholders and engineering teams.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related technical field.
3–6+ years of experience in data engineering, data platform engineering, or related roles.
Strong programming and data engineering experience including Python and SQL; hands-on experience with APIs and system integrations (REST, microservices).
Experience with modern cloud-based data platforms such as AWS, Azure, Snowflake, or Databricks.
Experienced data engineer with proven ability to apply engineering skills in data governance and metadata management use cases.
Practical experience or strong understanding of data governance concepts including metadata, lineage, data quality, and compliance.
Comfortable working with global, cross-functional teams and integrating multi-source data pipelines through automation and platform configuration.