Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
Write complex and efficient SQL queries to extract and transform data from various sources.
Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
Ensure data quality and integrity across all systems.
Monitor, troubleshoot, and optimize the performance of our data infrastructure.
Stay up-to-date with the latest trends and technologies in the Big Data space.
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