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Urgent! Data Transformation Engineer Job Opening In India, India – Now Hiring PwC India

Data Transformation Engineer



Job description

Job Description (JD) for a dbt (Data Build Tool) Developer role, tailored to your requirements:

Job Title: DBT Developer

Experience: 2 to 10 Years

Location: Gurugram

Employment Type: Full-Time

Job Summary:

We are seeking an experienced DBT Developer with 28 years of experience in designing and developing scalable data solutions.

The ideal candidate must have strong proficiency in Python and SQL, along with hands-on experience in Redshift, dbt (Data Build Tool), any leading ETL tools, and a good understanding of Data Lake and Data Warehouse architectures.

Key Responsibilities:

  • Collaborate with data analysts, engineers, and business teams to implement scalable AWS.
  • Write optimized SQL and Python scripts for complex data modeling and processing tasks.
  • Collaborate with data analysts, engineers, and business teams to implement scalable ELT workflows.
  • Create and manage data models, schemas, and documentation in dbt.
  • Manage data integration from using best practices (clustering, caching, virtual warehouses).
  • Manage data integration from data lakes, external systems, and cloud sources.
  • Ensure data quality, lineage, version control, and compliance across all environments.
  • Participate in code reviews, testing, and deployment activities using CI/CD pipelines.

Required Skills:

  • 58 years of experience in Data Engineering or Data Platform Development.
  • Hands-on experience with Redshift and AWS – data warehousing, architecture, and performance tuning.
  • Proficient in dbt (Data Build Tool) – model creation, Jinja templates, macros, testing, and documentation.
  • Strong Python scripting for data transformation and automation.
  • Advanced skills in SQL – writing, debugging, and tuning queries.
  • Familiarity with Git-based workflows and version control in dbt projects.Ns.
  • Familiarity with Git-based workflows and version control in dbt projects.

Preferred Skills (Good to Have):

  • Experience with Airflow, Dagster, or other orchestration tools.
  • Knowledge of cloud platforms like AWS, Azure, or GCP.
  • Exposure to BI tools like Power BI, Tableau, or Looker.
  • Understanding Data Governance, Security, and Compliance.
  • Hands-on experience with n data transformation pipelines using


Required Skill Profession

Computer Occupations



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