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Senior Data Engineer (AWS & Snowflake)

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Job Description - Senior Data Engineer (AWS & Snowflake)



Full-time


Description

  • Data Pipeline Development: Build and maintain efficient, scalable, and reliable  pipelines to support analytics and reporting workloads. 
  • Data Integration: Implement seamless integration across diverse data sources  (structured, semi-structured, and unstructured) into Snowflake and AWS-based  data platforms (Postgres/Aurora Postgres/Dynamo DB)  
  • Data Governance: Establish and enforce data governance frameworks including  metadata management, data lineage, data quality and data entitlement.  
  • Cloud Engineering: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift,  EMR) to design cloud-native data solutions.  
  • Performance Optimization: Monitor, troubleshoot and optimize data workflows  for speed, scalability, and cost efficiency. 
  • Collaboration: Partner with data architects, analysts and business stakeholders  to translate requirements into technical solutions.  
  • Best Practices: Drive adoption of engineering best practices, including CI/CD,  automation, and Infrastructure-as-Code for data platforms.  
  • Leveraging AI: Any experience in leveraging AI in execution or implementation of  data pipelines and data integration solutions.  

Requirements

  •  10–12 years of hands-on experience in data engineering.  
  • Strong hands-on expertise in Snowflake data modelling, performance tuning,  CDC, security and governance (Snowpipe, Dynamic Tables, DBT, Streams,  RBAC).  
  • Hands-on experience with AWS services (S3, Glue, Postgres, Redshift, EMR,  IAM).  
  • Proficiency in RDBMS concepts, SQL and programming languages such as  Python or Scala.  
  • Experience with ETL/ELT frameworks and workflow orchestration tools (  Snaplogic, Airflow, DBT).  
  • Good understanding of data governance principles and implementation  experience  
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.  
  • Excellent problem-solving, communication and stakeholder management skills.  

Preferred Qualifications  

  • Exposure to big data technologies (Spark, Hadoop).  
  • Experience with real-time data streaming (Kafka, Kinesis).  
  • Knowledge of data cataloging tools (Collibra, Alation).  
  • Experience of using  AI tools (Cloude, Cortex)   
  • Prior experience in implementing enterprise-scale data modernization initiatives.  

Original job Senior Data Engineer (AWS & Snowflake) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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About the Company

Otelier.io

Optimize hotel operations seamlessly with Otelier's Hotel Management Software. Trusted by 10K+ properties to increase revenue, reduce cost and save time.

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