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IN_ Senior Associate_ Snowflake +DBT Engineer_Data And Analytics_Advisory_Bangalore

PwC Asia

Skills

Required

  • DBT
  • data quality
  • Data Build Tool
  • Snowflake development
  • optimization
  • SQL programming
  • ELT/ETL pipelines
  • cloud environments
  • data modeling concepts and implementation
  • Git
  • CI/CD deployment practices
  • orchestration tools
  • Airflow
  • Python

Preferred

  • Snowflake
  • Azure Data Factory / AWS Glue / Fivetran
  • Snowpark
  • Kafka / Event Hub / streaming technologies
  • Databricks / Microsoft Fabric / Synapse Analytics
  • Terraform
  • Agile/Scrum environments
  • ELT pipelines

We are looking for a highly skilled Data Engineer with strong hands-on experience in Snowflake and DBT to build, enhance, and support scalable ELT pipelines and enterprise data platforms. The ideal candidate will be responsible for developing data ingestion, transformation, and quality frameworks while ensuring reliability, performance, and scalability.

Responsibilities

  • IN_ Senior Associate_ Snowflake +DBT developer _Data And Analytics_Advisory_Bangalore
  • Develop and maintain ELT pipelines using Snowflake and DBT.
  • Design and implement data models to support analytics and reporting requirements.
  • Build reusable DBT models, macros, tests, and deployment frameworks.
  • Optimize Snowflake workloads, queries, and storage usage.
  • Develop data quality validation and monitoring mechanisms.
  • Collaborate with architects, analysts, and business stakeholders to deliver data solutions.
  • Implement CI/CD processes for data platform deployments.
  • Troubleshoot pipeline failures, performance bottlenecks, and data quality issues.
  • Create technical documentation and operational runbooks.
  • Ensure adherence to data governance and security standards.

Requirements

  • DBT (Data Build Tool) experience is mandatory and non-negotiable.
  • Hands-on experience with Snowflake development and optimization.
  • Strong SQL programming skills.
  • Experience building ELT/ETL pipelines in cloud environments.
  • Experience with data modeling concepts and implementation.
  • Experience with Git and CI/CD deployment practices.
  • Experience with orchestration tools such as Airflow.
  • Strong understanding of data quality, testing, and monitoring practices.
  • Working knowledge of Python for data engineering tasks.
  • 4 to 7 years
  • BE/ Btech/ Mtech/ MCA/ MBA (fulltime)

Preferred

  • Azure Data Factory, AWS Glue, or Fivetran.
  • Snowpark experience.
  • Kafka, Event Hub, or streaming technologies.
  • Databricks, Microsoft Fabric, or Synapse Analytics.
  • Infrastructure as Code (Terraform).
  • Exposure to Agile/Scrum environments.
  • Cloud certifications.

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