Design, build, and maintain scalable, cloud-based data pipelines.
Work with AWS services, Airflow, and Databricks to integrate, process, and analyze large datasets.
Impact BI, analytics, and data-driven decision-making across the company.

🎯 Requirements

3+ years of experience in data engineering or related roles.
BS in CS/Engineering or equivalent practical experience.
Proficiency in Python for data engineering and automation.
Experience with Spark, Databricks, DBT, and Airflow.
Hands-on with AWS services (S3, Redshift, Glue, Managed Airflow, Lambda).
Knowledge of Docker, Terraform, Kubernetes, and infrastructure automation.

🎁 Benefits

Competitive compensation packages.
Open dialogue culture with opportunities for career growth.
Regular team outings and activities to foster community.

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