Software Engineer-Data

Coforge; Dadri, Hyderabad; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Coforge is looking for a Data Engineer to design, implement, and optimize data pipelines that power analytics across multiple cloud platforms. The role focuses on scalable data warehousing, ingestion from diverse sources, and robust data quality checks.

The ideal candidate will work with Snowflake, DBT, AWS, PySpark, and SQL to deliver reliable data products and support business intelligence initiatives. Location options include Pune, Hyderabad, Bengaluru, or Noida.

Qualifications

• Experience designing and developing ETL/ELT pipelines.
• Proficiency with Snowflake, DBT, AWS, PySpark, SQL.
• Ability to build data models and transformation frameworks for analytics.

Responsibilities

• Design and develop end-to-end ETL/ELT pipelines using DBT, PySpark, and AWS services.
• Build scalable data models and transformation frameworks in Snowflake.
• Develop and maintain data ingestion processes from multiple source systems.
• Create and optimize SQL queries, views, stored procedures, and data marts.
• Work with AWS services including S3 and Glue for data processing and orchestration.
• Implement data quality checks, validations, and reconciliation processes.
• Monitor, troubleshoot, and optimize pipeline performance.
• Collaborate with business, analytics, and architecture teams to understand data requirements.
• Support production deployments and resolve data-related issues.
• Follow best practices in code versioning, testing, and documentation.

Skills

Data pipelines

Data warehousing

Cloud platforms

SQL queries

Tools

Snowflake

DBT

AWS

PySpark

PostgreSQL

SQL

Job description

Role & responsibilities

Role: Data Engineer
Experience: 510 Years
Location: Pune / Hyderabad / Bengaluru / Noida

Job Summary

We are seeking a highly skilled Data Engineer with expertise in Snowflake, DBT, AWS, PySpark, ETL, PostgreSQL, and SQL. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data warehousing solutions, and cloud-native data platforms to support analytics and business intelligence initiatives.

Key Responsibilities

• Design and develop end-to-end ETL/ELT pipelines using DBT, PySpark, and AWS services.
• Build scalable data models and transformation frameworks in Snowflake.
• Develop and maintain data ingestion processes from multiple source systems.
• Create and optimize SQL queries, views, stored procedures, and data marts.
• Work with AWS services including S3 and Glue for data processing and orchestration.
• Implement data quality checks, validations, and reconciliation processes.
• Monitor, troubleshoot, and optimize pipeline performance.
• Collaborate with business, analytics, and architecture teams to understand data requirements.
• Support production deployments and resolve data-related issues.
• Follow best practices in code versioning, testing, and documentation.