Software Engineer

Design, develop, and maintain ETL workflows and data pipelines for large-scale data processing.
Write and optimize medium-complexity SQL queries on Hive, Spark, and Impala for use case-driven scenarios.
Develop and maintain scripts using HIVE, PySpark, Spark, and Scala for data transformation and processing.
Implement and troubleshoot Unix Shell scripts for automation and system tasks.
Collaborate with cross-functional teams to ensure data integrity and performance.
Work in alignment with U.S. business hours for meetings and deliverables.
Contribute to cloud-based data solutions and ensure best practices in data engineering.