Job Description
- Own TextNow's data warehouse, pipeline, and integration points between various business systems.  Â
- Explore available technologies and develop solutions to build and improve our identity resolution solutions. Â
- Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.  Â
- Manage data infrastructure to manage our ML-based data products. Â
- Be a champion of TextNow's data ecosystem by working with data science, engineering and infrastructure to implement data strategy for governance, security, privacy, quality,and retention that will satisfy business policies and requirements.  Â
- Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.  Â
- Mentor junior data engineers and promote best practices in data engineering.Â
- Have 7-10 years of experience working with data warehouse/data lake and ETL architectures, cloud data warehouses (Redshift, Snowflake, RDS) ,and experience in Python and SQL, preferably at companies with fast-growing and evolving data needs.Â
- Worked on AWS cloud data services such as MSK, EKS and has familiarity with schemas, metadata catalogs. Â
- Have at least 5+ years of experience with open-source technologies such as Airflow, Iceberg,and Spark (including PySpark).Â
- Experience working with scalable microservices for realtime data pipelines.Â
- Experience with implementing ML and AI frameworks is a plus.Â
- Familiarity with software development methodologies and tools (e.g., Agile, Git, CI/CD).Â
- Hands on experience working with data governance, data quality solutions.Â
- Respectfully candid with the ability to initiate and drive projects to completion. Â
- Highly organized, structured work approach and dependable. Expected ability to communicate and collaborate on data engineering tasks with internal and external teams.Â
Date Posted
07/25/2024
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