Data Engineer

Text Analytics Engineer
- Conversational Data Pipelines & Analytics

Location:
LATAM 100% Remote Responsibilities ● As a Text Analytics Engineer, you will design, build and maintain scalable data pipelines for conversational and text-based datasets. ● Develop data ingestion, transformation, enrichment, sampling and processing workflows for large-scale conversational data. ● Build and support Athena Studio workflows and related data processing pipelines for Text Analytics use cases. ● Create and implement sampling methodologies to support high-volume conversational data analysis, including sampling within conversations and across conversations. ● Prepare and process conversational data for analytics, prompt training, machine learning and downstream AI applications. ● Collaborate closely with the Text Analytics team in Argentina to align pipeline design, data quality and delivery priorities. ● Partner with Data Science, Engineering and Product teams to deliver reliable data flows that support conversational analytics capabilities. ● Develop validation, monitoring and quality-control checks for production data pipelines. ● Work with structured and unstructured datasets while ensuring performance, scalability and maintainability. ● Document pipeline logic, data transformations and operational processes clearly for technical stakeholders. Minimum Qualifications ● Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science or related technical discipline, or equivalent practical experience. ● 5+ years of relevant work experience in Data Engineering, Analytics Engineering, Text Analytics, Data Science or related technical areas. ● Hands-on experience building and supporting data pipelines and ETL/ELT workflows. ● Demonstrated proficiency in Python and SQL. ● Experience working with large-scale structured and unstructured datasets. ● Experience processing text data, conversational data, customer interaction data or similar unstructured data sources. ● Working knowledge of data quality, validation, monitoring and troubleshooting practices for data pipelines. ● Ability to collaborate effectively with cross-functional and geographically distributed teams. Preferred Qualifications ● Experience with Athena Studio and AWS Athena for analytics or data processing workflows. ● Experience with AWS data services such as S3, Glue, Lambda, EMR, SageMaker or similar cloud-based platforms. ● Experience with Spark, PySpark, Databricks or distributed data processing technologies. ● Experience developing sampling methodologies for analytics, NLP, prompt training or machine learning data preparation. ● Familiarity with Natural Language Processing, Text Analytics, Conversational Analytics or customer experience analytics domains. ● Familiarity with Generative AI, Large Language Models, prompt engineering concepts or LLM data preparation workflows. ● Strong debugging, performance optimisation and data pipeline reliability skills. ● Strong communication skills, especially in describing data workflows, pipeline behaviour and technical trade-offs to technical and non-technical audiences. ● Experience working with teams across India, Argentina or other global delivery locations. Ankeet Ankit.
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