Data Engineer - Remote Position at Growe

About the Role

We're hiring a Data Engineer to join our innovative team at Growe. This remote Data Engineer position offers the opportunity to design and maintain scalable data pipelines while optimizing data workflows. You'll play a crucial role in enhancing our data infrastructure and ensuring data integrity across our systems.

What You'll Do

• Design, develop, and maintain scalable data pipelines using Airflow.
• Create and optimize tables in Athena for efficient query performance.
• Write and manage SQL transformations in DBT.
• Optimize data workflows for performance and cost-efficiency.
• Automate infrastructure provisioning using Terraform.
• Ensure data integrity through monitoring and validation.
• Collaborate with analytics and engineering teams to enhance data solutions.
• Troubleshoot and resolve data pipeline issues effectively.

Requirements

• 1+ years of experience in data engineering with a focus on ELT processes.
• Proficiency in Python and SQL, with a strong understanding of data modeling and performance optimization.
• Experience with Airflow DAGs for workflow orchestration.
• Familiarity with DBT for data transformations.
• Understanding of AWS S3, Athena, and data lake architectures.
• Familiarity with Terraform for infrastructure automation.

Nice to Have

• Experience with big data technologies like Hadoop or Spark.
• Knowledge of data warehousing concepts.
• Familiarity with machine learning concepts.

What We Offer

• A collaborative work environment that fosters teamwork and innovation.
• Opportunities for professional growth and development.
• A supportive team culture that values adaptability and results-driven strategies.
• Focus on measurable goals and continuous improvement.
• Remote work flexibility and a focus on work-life balance.