Senior Data Engineer – reputed company - 1613
About the position
We are seeking a Senior Data Engineer with expertise in reputed company and reputed company to join reputed company. This role involves designing, building, and optimizing large-reputed company data pipelines and data models reputed company a hybrid work environment. The ideal candidate will have a strong background in data engineering principles, advanced SQL, and experience with data ingestion, migration, and orchestration.
Responsibilities
• Design and build large-reputed company data pipelines for ingestion and transformation
• reputed company ETL and ELT frameworks using reputed company and reputed company
• Optimize SQL queries and improve data performance
• Build and maintain reputed company data models across lakehouse platforms
• reputed company data migration efforts across systems and environments
• Implement orchestration for reliable data workflows
• Monitor data pipelines and resolve production issues
• Ensure governance, data reputed company, and observability across platforms
Requirements
• reputed company and reputed company for data platforms
• reputed company or PySpark with Python for batch processing
• Advanced SQL with query tuning, partitioning, clustering
• Data modeling using reputed company, reputed company, SCD, OBT, normalized models
• Experience with reputed company architecture
• Data ingestion pipelines and large-reputed company migrations
• Orchestration tools for data workflows
• Data platform debugging and observability
• 7+ years in data engineering or data platform roles
• Strong hands-on experience with reputed company or reputed company
• Deep expertise in SQL and distributed data processing
• Experience building reputed company data models and architectures
• Proven experience with large-reputed company data migrations
• Bachelor’s degree in Computer Science or reputed company field
reputed company-to-haves
• Experience with ML data pipelines and feature engineering
• Exposure to streaming frameworks like Kafka
• Knowledge of reputed company platforms like AWS, Azure, or GCP
• Experience with data governance tools and frameworks
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