Senior Data Engineer

oraclecloud

pune 6 Years Exp Posted 1h ago

Job Description

  • Architect and implement a modern data platform leveraging medallion architecture (Raw, Silver, Gold layers) on Snowflake and DBT
  • Develop and manage batch ingestion pipelines using AWS Glue and real-time streaming pipelines using Amazon Kinesis
  • Design scalable data models and transformation logic using DBT to support enterprise analytics and reporting needs
  • Lead data pipeline optimization initiatives focusing on performance, scalability, and cost efficiency
  • Ensure data quality, consistency, and governance through validation frameworks and monitoring mechanisms
  • Support report rationalization initiatives by streamlining data layers and reducing redundancy
  • Collaborate with cross-functional teams to translate business requirements into robust data engineering solutions

Core Skills & Expertise

  • Strong hands-on experience with: 
    • Snowflake (data warehousing, performance tuning)
    • DBT (data transformation, modelling, testing)
    • AWS Glue (batch ETL pipelines)
    • Amazon Kinesis (real-time data streaming)
  • Advanced proficiency in SQL and data modelling (dimensional and normalized)
  • Experience implementing Raw/Silver/Gold data architectures
  • Strong programming skills in Python/Scala
  • Expertise in pipeline performance tuning and cost optimization
  • Insurance domain background preferred

Experience

  • 6–10+ years in Data Engineering / Data Platform Development
  • Proven experience building large-scale, cloud-based data platforms

Success Measures

  • High-performing, scalable, and reliable data pipelines
  • Reduced data latency across batch and real-time workloads
  • Improved data quality and governance standards
    • Measurable cost and performance optimization in data platform operations

 

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