- Design, develop, and maintain scalable data pipelines and ETL processes
- Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
- Optimize database performance, queries, and data models
- Collaborate with data scientists, analysts, and application teams to support data needs
- Ensure data quality, reliability, and security across data platforms
- Monitor and troubleshoot data pipeline and system issues
- Support data migration and integration activities
- Strong experience as a Data Engineer
- Hands-on experience with MEM SQL (SingleStore)
- Strong SQL skills and database optimization experience
- Experience with ETL tools and data pipeline frameworks
- Knowledge of data modeling and data warehousing concepts
- Experience working with large datasets and real-time data processing
- Experience with cloud platforms (AWS / Azure / GCP)
- Knowledge of Big Data technologies (Spark, Kafka, etc.)
- Telecom domain experience (preferred, not mandatory)
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