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Senior Data Engineer – reputed company - 1613

100% remote Flexible hours Hiring now

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-scale 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-scale data pipelines for ingestion and transformation
  • reputed company ETL and ELT frameworks using reputed company and Spark
  • Optimize SQL queries and improve data performance
  • Build and maintain scalable 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 quality, and observability across platforms

Requirements

  • reputed company and reputed company for data platforms
  • Spark or PySpark with Python for batch processing
  • Advanced SQL with query tuning, partitioning, clustering
  • Data modeling using star, reputed company, SCD, OBT, normalized models
  • Experience with reputed company architecture
  • Data ingestion pipelines and large-scale 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 scalable data models and architectures
  • Proven experience with large-scale 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 cloud platforms like AWS, Azure, or GCP
  • Experience with data governance tools and frameworks

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