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Senior Data Engineer

Senior Data Engineer

all known services
5-10 Years
  • Posted 2 hours ago
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Job Description

Senior Data Engineer (Snowflake, dbt, SQL, AI)

Location: India (Remote)

Experience: 5-10 Years

About the Role

We are seeking a Senior Data Management Consultant with 5–10 years of experience to design and deliver modern cloud analytics solutions using Snowflake and dbt. This client-facing role requires deep technical expertise and strong consulting skills to build scalable data platforms, optimize ELT pipelines, and translate business requirements into trusted analytics solutions.

Key Responsibilities

  • Design and implement scalable Snowflake data warehouse solutions.
  • Develop, optimize, and maintain ELT pipelines using dbt and advanced SQL.
  • Build analytics-ready data models following modern analytics engineering best practices.
  • Gather business requirements and translate them into scalable data solutions.
  • Perform data integration, transformation, and performance optimization.
  • Lead or support data migration initiatives from on-premises or legacy platforms to Snowflake.
  • Provide technical leadership on data modelling standards, transformation patterns, and modern analytics architecture.
  • Collaborate with cross-functional business and technical teams using Agile delivery methodologies.
  • Support release management for data platforms, ELT pipelines, and analytics assets throughout the deployment lifecycle.
  • Implement CI/CD pipelines using GitHub or GitLab.
  • Ensure data quality, governance, security, and platform performance.
  • Partner with business stakeholders, architects, and engineering teams throughout project delivery.

Required Qualifications

  • 5–10 years of experience in Data Engineering or Analytics Engineering.
  • 3-5 years of experience with Snowflake (Mandatory).
  • 3-5 years of experience with dbt (Mandatory).
  • Advanced SQL programming and query optimization.
  • Experience building scalable ELT pipelines.
  • Strong understanding of Data Modelling and Modern Data Warehousing.
  • Experience with GitHub/GitLab and CI/CD.
  • Exposure to AI tools such as Sigma, Anthropic, Cursor, and/or Cortex
  • Excellent communication and client-facing consulting experience.

Preferred Qualifications

  • Workflow orchestration tools (Airflow, Prefect, etc.).
  • Snowflake security and RBAC.
  • Data migration experience.
  • Agile/Scrum delivery experience.
  • Release management and analytics platform support.
  • Understanding of data governance and security best practices

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