Lead design, implementation, and testing of data systems from architecture to production.
Build batch and real-time data pipelines to meet business needs.
Ensure data quality, performance, and stability with monitoring and QA.
Design and optimize data models to meet requirements.
Collaborate with product, data science, and engineers for scalable systems.
Mentor team members and promote data quality and governance.

🎯 Requirements

3+ years in distributed data platforms (Spark, Kafka, Flink)
Proficient in Java, Scala, or Python; strong SQL
Design and optimize batch and real-time pipelines
Data modeling and warehousing expertise (PostgreSQL, MySQL, Redshift, BigQuery)
Strong collaboration and communication; influence stakeholders
Leadership and mentorship; guide data practices

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