Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title

Experience

Location:

Skills Set:

Key Responsibilities:
  • Lead the design, development, and maintenance of scalable data pipelines and architectures.
  • Manage end-to-end data workflows, ensuring accuracy, consistency, and security of data.
  • Implement and optimize data models using DBT and Snowflake.
  • Deploy and manage cloud-based data infrastructure on Azure.
  • Collaborate with DevOps teams to ensure smooth integration and deployment processes.
  • Monitor data quality, performance, and operational issues, and implement improvements.
  • Provide technical leadership and mentorship to junior data engineers.
  • Work closely with stakeholders to understand business requirements and translate them into technical solutions.
Required Skills & Qualifications:
  • 8–10 years of experience in data engineering or related roles.
  • Strong hands-on experience with DBT, Snowflake, and Azure Cloud.
  • Solid understanding of DevOps practices and CI/CD pipelines in a cloud environment.
  • Proficiency in data warehousing, ETL/ELT processes, and data modeling.
  • Experience with scripting languages such as Python or SQL.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Proven ability to lead and deliver high-impact data projects end-to-end.


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