Design and maintain scalable data pipelines for ingestion and storage
Build ETL workflows with Apache Spark, NiFi, or similar tools
Integrate data from multiple sources into centralized warehouses or data lakes
Ensure data quality and reliability via validation and monitoring
Optimize pipelines for performance, scalability
Collaborate with data scientists and engineers to translate business needs into solutions

🎯 Requirements

Bachelor's degree in CS, Engineering, or a related field (or equivalent)
3+ years of data or backend engineering experience
Proficiency in Java, Python, or Scala
Strong SQL skills with the ability to write complex queries
Experience with Airflow or similar workflow tools
Hands-on experience with Spark, Kafka, or Flink

🎁 Benefits

Opportunity to make a difference and work on meaningful projects
Challenging, collaborative, customer-focused culture
Work with technology that serves people

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