Data Engineer (Spark)

Responsibilities • Design and build scalable data pipelines to process large volumes of structured and unstructured data • Develop and optimize ETL workflows using Apache Spark (PySpark preferred) • Work with large-scale distributed data systems to ensure performance and reliability • Write efficient SQL queries for data transformation and analysis • Ensure data quality, consistency, and integrity across data pipelines • Troubleshoot and resolve data pipeline issues and performance bottlenecks • Collaborate with cross-functional teams to support analytics and reporting requirements • Contribute to best practices in data engineering and continuous improvement Required Skills & Experience • 5–10 years of experience in Data Engineering or Big Data roles • Strong hands-on experience with Apache Spark (Data Frames, Spark SQL, PySpark) • Strong SQL skills working with large datasets • Experience with Python for data processing • Experience building and maintaining ETL/data pipelines • Familiarity with distributed data processing and large-scale data environments Ikas International (Asia) Pte Ltd “Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd EA Licence No: 16S8086 | EA Registration No. R1988468 We regret to inform you that only shortlisted candidates will be notified /contacted.