Senior Consultant - Tech Consulting - National

3 - 8 years

9 - 13 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Description


  About The Role Senior Data Engineer (Cloud & Databricks)  
  Experience3+ years of hands-on experience in designing and delivering enterprise-scale data solutions on cloud platforms, with a strong focus on Databricks.  

  •   Key Responsibilities  
  •   Solution Design & Development  
  •   Architect, design, and implement large-scale, high-volume, high-performance, and highly available data solutions and pipelines on the Databricks Lakehouse platform within AWS Cloud.  
  •   Develop and maintain data lakes, lakehouses, and data warehouses across on-premises and cloud environments.  
  •   Build robust ETL processes and analytics solutions to support business needs.  
  •   Data Engineering & Governance  
  •   Manage the full data lifecycle, including ingestion, ETL, pruning, modeling, and governance, ensuring compliance with regulatory requirements.  
  •   Partner with data owners and platform teams to establish a single source of truth leveraging modern data architecture principles.  
  •   Technical Expertise  
  •   Deep understanding of Databricks architecture and AWS native services.  
  •   Strong programming skills in Python and related frameworks, with a focus on scalability, reliability, and performance optimization.  
  •   Implement CI/CD pipelines, automated testing, and code review best practices.  
  •   Apply security best practices for secure application development.  
  •   Collaboration & Leadership  
  •   Drive technical decision-making, balancing business priorities, technical constraints, and user experience.  
  •   Identify process inefficiencies and lead continuous improvement initiatives.  
  •   Work effectively with global development and engineering teams.  

  •   Preferred Skills  
  •   Experience with financial systems (Oracle Financials, Oracle Fusion Cloud, Hyperion) and optimizing their integration into broader data ecosystems.  
  •   Familiarity with DevOps practices, cloud security models, encryption strategies, and hybrid network architectures.  
  •   Knowledge of cloud data governance, compute optimization, and cost control.  
  •   Hands-on experience with tools such as Bitbucket, Rally, and Jenkins.  
  •   Exposure to large-scale cloud data migration projects.  
  •   Understanding of SDLC processes, standards, and governance frameworks.  
  •   Proficiency in at least one database technology (Oracle, Exadata, Netezza, SQL Server).  

  •   What We Look For  
  •   Strong problem-solving skills and ability to work in an agile environment.  
  •   Excellent communication and collaboration skills to work across global teams.  
  •   Passion for innovation and continuous learning in modern data engineering practices.  

  •    
      Company Culture  
    We value collaboration, integrity, and innovation. Our team is committed to fostering a positive work environment where every employee feels valued and heard.   Benefits   :
    We offer competitive compensation, professional development opportunities, and a supportive work environment   Education qualification required   Any Engineering Graduate
     

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