We are seeking an experienced Call Transcript Optimization Specialist to design, develop, and optimize data pipelines and processing frameworks supporting call transcription and conversational analytics. The candidate will work closely with solution architects, data engineering teams, and business stakeholders to build scalable data processing solutions that improve the quality, accuracy, accessibility, and usability of call transcript data.
The ideal candidate will have strong experience in cloud data engineering, AWS, Snowflake, ETL processes, and batch and near-real-time data processing, along with exposure to AI/ML, NLP, or GenAI-based solutions for conversational data analysis.
Required Technical Skills
- Experience: 7+ years in data engineering, cloud data platforms, data architecture, or related technical roles.
- AWS: Hands-on experience with AWS data services and cloud-based data processing architectures.
- Snowflake: Strong experience in Snowflake data warehousing, data processing, and performance optimization.
- ETL/ELT: Expertise in designing and implementing data extraction, transformation, and loading workflows.
- Data Pipelines: Experience developing scalable batch and near-real-time data pipelines.
- Programming: Proficiency in Python and SQL for data processing, transformation, and validation.
- Data Architecture: Experience with enterprise data lakes, data warehouses, and cloud migration initiatives.
- Data Quality: Understanding of data validation, monitoring, reconciliation, and pipeline optimization.