Data Engineer

• Pyspark
• SQL Server
• AWS
• TensorFlow
• ETL
• Power BI

We are looking for a skilled Data Engineer to join our dynamic team. The ideal candidate should have experience with modern data engineering tools and frameworks, a strong understanding of data architecture and pipeline development, and a passion for building scalable and efficient data systems.

• Design and develop robust ETL pipelines using PySpark to process large-scale datasets efficiently.
• Expertise in Data Transformation using PySpark.
• Write and optimize complex SQL queries in PL/SQL for data transformation and analysis.
• Leverage Trino for distributed SQL querying on large datasets across heterogeneous data sources.
• Develop, deploy, and maintain data solutions on AWS, ensuring scalability, security, and high availability.
• Utilize basic knowledge of Power BI for data visualization needs.
• Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.
• Demonstrate excellent communication skills while working with diverse teams.