Senior Big Data Software Engineer (Snowflake + DBT)

About The Role

In this role you will design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will take ownership of reliable data workflows and large-scale analytical datasets, working with technical and business stakeholders to deliver high-quality data assets with a focus on performance, data quality, and cost efficiency.

About The Role

In this role you will design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will take ownership of reliable data workflows and large-scale analytical datasets, working with technical and business stakeholders to deliver high-quality data assets with a focus on performance, data quality, and cost efficiency.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions to support reliable analytics and business decision-making

Build and optimize data transformations and data models, using Snowflake, dbt, SQL, and Python.

Collaborate with technical and business stakeholders to understand requirements and translate them into effective data solutions and high-quality data assets

Develop and maintain workflow orchestration using Apache Airflow to support reliable end-to-end data processing

Design data models and ingestion frameworks that support large-scale analytical datasets and complex data transformations

Implement data quality, validation, and auditing processes across end-to-end data workflows to improve the reliability of data assets

Develop and maintain data integration solutions across AWS and Snowflake environments using SQL, Python, and dbt

Contribute to CI/CD, testing, troubleshooting, and continuous improvement practices for data engineering solutions in production environments

Requirements

Strong experience in Data Engineering, Data Warehousing, or related fields, with 5+ years of professional experience

Strong hands-on experience with Snowflake and modern cloud-based data warehouse solutions

Advanced SQL skills for working with large-scale datasets and complex data transformations

Strong proficiency in Python for data engineering, data transformation, and automation

Hands-on experience with dbt for data transformation, modeling, testing, and documentation

Solid experience designing and maintaining ETL/ELT pipelines, data models, and ingestion workflows

Practical experience with Apache Airflow or similar workflow orchestration technologies

Hands-on experience with AWS cloud data platforms and services, plus familiarity with CI/CD, version control, data quality, and production troubleshooting practices

Upper-intermediate or higher English proficiency for collaboration with technical and business stakeholders

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

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