Data Transformation Specialist

6 days ago

Delhi, Delhi, India beBeeDataTransformation Full time ₹ 10,00,000 - ₹ 25,00,000

Job Title: Data Transformation Specialist

 

We seek an experienced professional to design, develop, and maintain scalable data pipelines that deliver high-quality data for business and analytics needs.

The ideal candidate should have at least 3+ years of hands-on experience with ETL tools, advanced SQL, and DBT for transforming, modeling, and delivering data.

Key Responsibilities:

  • Design and develop ETL pipelines to ingest, transform, and load structured/unstructured data from multiple sources.
  • Build and maintain data models and transformations using DBT to ensure accuracy, reusability, and scalability.
  • Write, optimize, and debug complex SQL queries, stored procedures, and database objects for data transformation and validation.
  • Collaborate with data engineers, analysts, and stakeholders to translate requirements into technical solutions.
  • Implement data quality checks, monitoring, and validation processes to ensure integrity and reliability of datasets.
  • Work with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, Redshift, BigQuery, etc.) for data integration and transformation.
  • Ensure best practices in data governance, version control (Git), and CI/CD pipelines for data workflows.
  • Troubleshoot ETL performance issues and perform root cause analysis to ensure data pipeline efficiency.

Required Skills & Qualifications:

  • 5-7 years of total experience in ETL development and data engineering.
  • Minimum 3 years of hands-on experience in:
    • 1. ETL tools/processes (designing and developing pipelines).
    • 2. Advanced SQL (query optimization, joins, CTEs, performance tuning).
    • 3. DBT (Data Build Tool) for data modeling and transformation.
  • Strong understanding of data warehouse concepts, star/snowflake schema, and dimensional modeling.
  • Experience with cloud data platforms (AWS Redshift, Snowflake, GCP BigQuery, or Azure Synapse).
  • Good knowledge of Python or scripting languages for automation is a plus.
  • Familiarity with Git, CI/CD, and Agile methodologies.
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

  • Exposure to Airflow or similar orchestration tools.
  • Experience with data quality frameworks and monitoring solutions.
  • Knowledge of business intelligence (BI) tools like Tableau, Power BI, or Looker.

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