Data Engineer
Location: Anywhere
Department: Analytics
Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that wrk 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:
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Design, develop, and maintain scalable data pipelines using Airflow;
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Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness;
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Write and manage SQL transformations in DBT, building reusable and well-documented models;
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Optimize data workflows for performance, reliability, and cost-efficiency;
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Automate infrastructure provisioning using Terraform for data processing environments;
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Ensure data integrity and consistency through monitoring, validation, and error handling;
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Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions;
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Troubleshoot and resolve data pipeline issues in a timely manner.
Experience you’ll need to bring:
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1+ years of experience in data engineering with a focus on ELT processes;
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Good expertise in Python, SQL, data modeling, and performance optimization;
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Experience with Airflow DAGs for workflow orchestration;
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Experience with DBT for data transformations and modular modeling;
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Understanding of AWS S3, Athena, and data lake architectures;
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Familiarity with Terraform for infrastructure automation (will be a plus).
It's a perfect match if you have those personal features:
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Strong analytical skills;
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Problem-solving skills;
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Attention to detail.
Our clients offer competitive benefits to support your professional and personal growth, including:
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Health & Wellness Focus;
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Global Medical Coverage;
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Growth Opportunities;
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Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
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Performance-Driven Rewards;
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Dynamic Work Environment.
Apply, and let your growth journey begin.
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