- 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.
