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Data Engineer

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Description

Role & responsibilities


Job Description Data Engineer (AWS, Snowflake, DBT, Python)

Position: Data Engineer / Senior Data Engineer
Experience: 5-10 Years
Location: Hyderabad


Notice Period: Immediate to 30 Days Preferred

Job Summary

We are seeking a skilled Data Engineer with strong expertise in AWS, Snowflake, DBT, Python, SQL, and ETL development. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data warehouse solutions to support business analytics and reporting.

Mandatory Skills

  • Snowflake
  • DBT (Data Build Tool)
  • Python
  • SQL
  • AWS S3
  • AWS Glue
  • ETL Development
  • Data Warehousing Concepts

Good to Have

  • PySpark
  • Airflow
  • Redshift
  • CI/CD Pipelines
  • Data Modeling
  • Agile/Scrum Methodology

Roles & Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Python and DBT.
  • Build scalable data solutions on AWS using S3 and Glue.
  • Develop and optimize Snowflake data warehouse objects.
  • Create and maintain data models, transformations, and workflows.
  • Perform data quality validation and performance tuning.
  • Collaborate with business and analytics teams to understand data requirements.
  • Troubleshoot production issues and provide timely resolutions.
  • Follow best practices for data governance, security, and documentation.



Skills

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See also

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