Data Engineer (Snowflake + DBT + Python + SQL

Tata Consultancy Services

Kolkata District

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

Tata Consultancy Services in India is seeking a Senior Engineer in Data Engineering to design and maintain enterprise data architecture aligned with business goals.

You will design and implement data pipelines and ETL processes leveraging Snowflake, DBT, and Python. Develop and maintain DBT models (staging, intermediate, marts) and optimize Snowflake performance. Implement CI/CD for DBT and Snowflake deployments and troubleshoot issues.

Qualifications

  • Must-Have Snowflake, DBT, Python Data Engineering.

Responsibilities

  • Design and maintain enterprise data architecture aligned with business goals.
  • Design and implement data pipelines and ETL processes leveraging Snowflake, DBT, and Python.
  • Develop and maintain DBT models (staging, intermediate, and marts layers).
  • Optimize SQL queries and Snowflake performance (clustering, caching, warehouse sizing).
  • Implement CI/CD pipelines for DBT and Snowflake deployments.
  • Troubleshoot data issues, pipeline failures, and performance bottlenecks.

Skills

Snowflake
DBT
Python Data Engineering

Tools

PySpark

Job description

SN

Required Information

Details

Role** Senior Engineer

Required Technical Skill Set - Snowflake, DBT, Python Data Engineering

3

Desired Experience Range - 5-8 Years

Location of Requirement - Kolkata

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

Snowflake, DBT, Python Data Engineering

Good-to-Have

PySpark

SN

Design and maintain enterprise data architecture aligned with business goals.

1

Design and implement data pipelines and ETL processes leveraging Snowflake, DBT, and Python.

2

Develop and maintain DBT models (staging, intermediate, and marts layers).

3

Optimize SQL queries and Snowflake performance (clustering, caching, warehouse sizing).

4

Implement CI/CD pipelines for DBT and Snowflake deployments.

5

Troubleshoot data issues, pipeline failures, and performance bottlenecks.

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