Key Responsibilities

• Design, develop, and maintain scalable data platforms supporting large-scale data ingestion, storage, and processing.
• Build and operate robust batch and real-time data pipelines across production environments.
• Develop solutions for processing structured and unstructured datasets from a variety of sources.
• Design and implement data workflows using technologies such as Apache NiFi, Kafka, Spark, Flink, and Airflow.
• Develop highly concurrent, scalable, and low-latency data processing systems.
• Ensure data platforms are reliable, secure, observable, and operationally efficient.
• Work with relational databases, NoSQL databases, event streams, log-based systems, and cloud storage platforms.
• Collaborate with product, engineering, and analytics stakeholders to deliver business-critical data solutions.
• Support integrations with third-party platforms and services.
• Participate in Agile ceremonies, sprint planning, and delivery activities.
• Drive continuous improvement across data architecture, engineering practices, and platform performance.
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