Senior Data Engineer

Key Responsibilities

• Design and develop scalable batch, near-real-time, and streaming data pipelines on GCP.

• Build and manage ETL/ELT pipelines and analytics-ready data products

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• Work with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage

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• Design modern Data Lake, Lakehouse, Data Warehouse, and Data Mesh solutions.

• Develop data models, dimensional models, transformations, and optimized SQL

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• Implement data quality, validation, reconciliation, observability, metadata, and lineage

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• Ensure data solutions meet security, privacy, governance, compliance, and performance standards.

• Implement CI/CD, Git, automated testing, monitoring, and production support

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• Optimize pipelines for performance, reliability, scalability, and cloud cost

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• Use approved AI-assisted engineering tools for development, testing, documentation, SQL optimization, and troubleshooting.

• Provide technical leadership, mentor engineers, and contribute to architecture/design reviews.

Mandatory Skills

• 8+ years in Data Engineering / Data Architecture

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• Strong GCP experience.

• Strong Python and SQL

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• Hands-on ETL/ELT and data pipeline development

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• Experience with BigQuery + Dataflow / Dataproc / Pub/Sub / Cloud Composer

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• Strong data modelling / dimensional modelling experience.

• Knowledge of data governance, quality, lineage, and observability

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• Experience with Git, CI/CD, and automated testing

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• Strong understanding of modern cloud data architecture.