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Generalist Data Engineer title, metro location, and broad cloud/BI skillset increase candidate competition.
Core data engineering skills are broadly transferable across industries despite domain-specific English and exams context.
Many mandatory cloud, data warehouse, Python/SQL, Delta Lake, CI/CD, and governance requirements.
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Design, build, and maintain scalable batch and streaming data pipelines and platforms for English and Exams data to support analytics and decision-making.
Ensure data solutions align with enterprise architecture, data governance standards, and support reuse of data assets to improve efficiency and quality.
Contribute to capability building through technical documentation and training to strengthen the Data Engineering community.
Proficiency in at least one cloud-based data warehouse platform such as AWS Redshift, Azure Fabric/Synapse, Snowflake, or Google BigQuery.
Experience with SQL, Python, designing data architectures (Lakehouse, Data Warehouse, Medallion), and modern data lake technologies like Delta Lake and Parquet.
Degree in Computer Science, IT, or related field, or equivalent experience; Cloud Data Engineer certification preferred.
Legal right to work in India; location is Noida; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering enterprise-scale cloud data solutions using Agile methodologies with proficiency in CI/CD pipelines (Azure DevOps or GitHub).
Knowledgeable in data modelling, performance optimization, security (including Cyber Security best practices like OWASP, NCSC, ISO27xxx), GDPR, and multi-cloud infrastructure (Azure, AWS).
Able to collaborate across business stakeholders, architects, and cross-functional teams to deliver standardized, scalable data solutions supporting digital transformation initiatives.