Senior Big Data Software Engineer (Snowflake + DBT)

Job description

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