Snowflake Data Engineer — AWS, DBT & PySpark Expert

Cognizant; Trenton (NJ); On-site; USD 116,000 - 136,000; Full time

Benefits offered by this job

Health Insurance

Paid time off (PTO)

401(k)

Disability Insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Data Engineer for the Life Sciences domain to design and maintain scalable data pipelines using Snowflake, AWS, DBT, Python, and PySpark. You will build ETL/ELT processes, model data, and ensure governance and quality across cloud-based data workflows.

The role collaborates with analysts and application teams to enable data integration, transformation, and analytics that drive business outcomes.

Qualifications

• Hands-on experience designing scalable data pipelines.
• Experience with cloud-based data architectures.
• Proficiency in Python and Spark for data processing.
• Knowledge of SQL optimization and data modeling.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, AWS, Python, and PySpark.
• Build and optimize ETL/ELT processes from multiple source systems.
• Develop data transformation models with DBT and ensure data quality and governance.
• Collaborate with stakeholders to deliver data solutions for Life Sciences.

Skills

Python

PySpark

SQL

ETL/ELT frameworks

Data modeling

Git

Tools

Snowflake Data Warehouse

AWS

DBT

Unix/Linux

S3

Lambda

EMR

Redshift

Job description

Cognizant is seeking a Data Engineer for the Life Sciences domain to design and maintain scalable data pipelines using Snowflake, AWS, DBT, Python, and PySpark. You will build ETL/ELT processes, model data, and ensure governance and quality across cloud-based data workflows.

The role collaborates with analysts and application teams to enable data integration, transformation, and analytics that drive business outcomes.