- Handle tons of structured and unstructured data
- Work closely with client to understand their recorded conversational data
- Transform and integrate conversation data into our Data Storage and ETL pipeline
- Implement python scripts for parsing, cleaning and transforming text data from CSV, JSON, HTML files
- Work with SQL/NOSQL databases like PostgreSQL, MongoDB, CosmosDB, and cloud data warehousing solutions such as Snowflake, BigQuery, etc.
- Implement distributed data processing systems using the Spark framework(pyspark)
- Keep abreast of state-of-the-art technology in Data engineering, perform proof-of-concepts, and plan to incorporate these into our Wysdom products
- Work closely with our NLP developers, Data Scientists, Backend Developers to design and deliver high quality, scalable Data processing solutions.
- Bachelor’s Degree in Computer Science/Engineering or related field required
- Strong background with ETL/ELT and Data Engineering projects
- 2+ years of working experience with Python, Pandas, Spark DataFrames, Java, C#, and JavaScript
- Expertise in SQL and NOSQL Databases
- Good understanding of Database Architecture and Design
- Experience with Azure, GCP, or AWS
- 2+ years of experience building data pipelines with DataBricks, Snowflake, BigQuery or Azure Data Factory
- Hands on experience with REST APIs and Web Services
- Familiar with Linux systems
- Knowledge of docker and Kubernetes is an asset
3 applies
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