Description
What You'll Do
- Own TextNow's data warehouse, data pipelines, and integration points between various business systems.
- Design, develop, and support new and existing batch and real-time data pipelines, and recommend improvements or modifications.
- Manage data models to enable AI/ML data products.
- Champion TextNow's data ecosystem by working with engineering and infrastructure teams to enable quicker access to data for insights and decision-making.
- Communicate data modeling and architecture processes to cross-functional teams.
- Identify, design, and implement process improvements across the data platform.
Who You Are
- Have 3–5 years of experience working with data warehouse/data lake and ETL architectures(e.g.,databricks, iceberg), cloud data warehouses (e.g., Snowflake), and hands-on experience in Python and SQL — preferably in companies with fast-growing and evolving data needs.
- Have at least 2 years of experience with Airflow and Spark.
- Have developed scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks such as Spark or Flink.
- Have exposure to the AWS platform and services such as EKS, MSK, and MWAA (preferred).
- Have experience building data features using Snowflake, dbt, and Python to power real-time AI/ML inference.
- Are respectfully candid, with the ability to initiate and drive tasks to completion.
- Are highly organized, dependable, and follow a structured work approach.
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