We are looking for a Senior Data Engineer to join our Architecture team in Noida, India. This is an amazing opportunity to help shape modern enterprise data platforms in the Intellectual Property space, with a focus on scalable data warehouse, Lakehouse, data integration, reporting, analytics, and future AI-enabled use cases. We have a excellent skill set in enterprise architecture, data platform engineering, Databricks-led data warehouse/Lakehouse modernization, and AWS cloud data services, and we would love to speak with you if you have experience with SQL, Python, ETL/ELT pipelines, data modelling, Databricks, and AWS.
About You – experience, education, skills, and accomplishments
Bachelor’s degree in computer science, engineering, information systems, or equivalent experience.
Min 5 years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform delivery.
Hands-on experience building data warehouses, Lakehouse platforms, ETL/ELT pipelines, or large-scale data integration solutions.
Strong SQL skills, including query optimization,



data profiling, and analytical data structures.
Strong Python or equivalent data processing language experience.
Good understanding of data modelling, including conceptual, logical, physical, normalized, and dimensional modelling techniques.
Experience with Databricks-based data warehouse/Lakehouse platforms and AWS cloud data services is preferred.
Experience implementing data quality, validation, observability, and operational monitoring practices.
Ability to work with architects and senior stakeholders to convert platform needs into actionable engineering designs.
It would be great if you also have . . .
Experience with Databricks notebooks, jobs/workflows, Delta Lake, Unity Catalog, performance tuning, and production-grade data pipeline delivery.
Experience with AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon EMR, or AWS Lambda.
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📌 Senior Data Engineer (Noida)
🏢 Clarivate
📍 Noida