Senior Bigdata Engineer (Snowflake + Dbt)
- Remote (anywhere)
- Full-time
- Software engineering
- $3,600–$4,000 / month
- Posted recently
You’ll apply on Softserve’s own site.
About the role
SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.
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
Some of our benefits
- SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills
- Medical insurance for you and your family
- Food vouchers
- Extra days off
- Dare to Care, our holistic well-being program
- Anniversary Program to celebrate your time with us