Senior Bigdata Engineer (Snowflake + Dbt)

Ulvior; United States; Remote; USD 40,000 - 45,000; Full time

Benefits offered by this job

Medical insurance for you and family

Food vouchers

Extra days off

Dare to Care well-being program

Anniversary Program

Job summary

SoftServe is seeking a Senior Bigdata Engineer (Snowflake + dbt) to design, build, and maintain scalable ETL/ELT pipelines and data warehouses in a remote role. You will work with Snowflake, dbt, Python, and Airflow to deliver reliable analytics-ready data assets and data models.

Collaboration with stakeholders to translate requirements into robust data solutions is essential. The role offers strong cloud experience with AWS and CI/CD practices.

Qualifications

• 5+ years in data engineering or related field.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions.
• Collaborate with technical and business stakeholders to translate requirements into data solutions.
• Develop and maintain workflow orchestration using Apache Airflow.
• Contribute to CI/CD, testing, and production troubleshooting in data engineering environments.

Skills

SQL

Python

Data warehousing

ETL/ELT

Data modeling

Tools

Snowflake

dbt

Apache Airflow

AWS

Job description

# Senior Bigdata Engineer (Snowflake + Dbt)SoftserveRemote· Senior· Full time· 4 days ago$3,600 - $4,000 / month## Description- 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- 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- 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