About the role

Design, develop, and maintain scalable data pipelines using Airflow while optimizing Athena tables and queries for performance. Collaborate with cross-functional teams to ensure data quality and build reusable data models using dbt.

What they look for

Data Engineering SQL Airflow dbt AWS S3 Athena Terraform Data Modeling Query Optimization Performance Tuning Data Pipelines Infrastructure Provisioning Data Quality Data Lake Architectures Analytical Skills Problem-solving

Requirements

Requires 3+ years of experience in Data Engineering with strong proficiency in SQL, Airflow, and dbt. Candidates must have hands-on experience with AWS S3, Athena, and Terraform for infrastructure automation.

Benefits

Health & Wellness Focus Global Medical Coverage Growth Opportunities Gym Compensation Stomatology Compensation Psychological Service Compensation Performance-Driven Rewards

Full description

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.

Perfect for those who aim to:

• Design, develop, and maintain scalable and reliable data pipelines using Airflow;

• Design and optimize Athena tables and queries, ensuring efficient performance and cost-effectiveness;

• Develop and maintain data transformations in dbt, building reusable, testable, and well-documented data models;

• Optimize data workflows for performance, reliability, and cost-efficiency;

• Automate infrastructure provisioning and configuration using Terraform;

• Ensure data quality, integrity, and consistency through monitoring, validation, testing, and error handling;

• Collaborate with Analytics, BI, and Engineering teams to understand data requirements and deliver effective data solutions;

• Troubleshoot and resolve data pipeline and data quality issues in a timely manner.

Experience you’ll need to bring:

• 3+ years of experience in Data Engineering, with hands-on experience building and maintaining ELT pipelines;

• Strong SQL skills, including data modeling, query optimization, and performance tuning;

• Hands-on experience with Airflow for workflow orchestration and DAG development;

• Practical experience with dbt for data transformation, testing, and modular data modeling;

• Hands-on experience with AWS S3 and Athena, and a solid understanding of data lake architectures;

• Experience with Terraform for infrastructure provisioning and automation.

It's a perfect match if you have those personal features:

• Strong analytical and problem-solving skills with attention to detail;

• Ability to work independently while collaborating effectively within a team;

• Proactive mindset and willingness to continuously learn and improve.

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;

• Global Medical Coverage;

• Growth Opportunities;

• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);

• Performance-Driven Rewards;

• Dynamic Work Environment.

Apply, and let your growth journey begin.