Data Developer
New
Open- Canada; US- National; US High-Cost Locations; US San Francisco Bay AreaFull-TimeMiddle
Salary88,900 CAD - 184,800 USD per year
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Job Details
- Experience
- 3–5 years
- Required Skills
- AWSPythonSQLApache AirflowETLSnowflakeSparkdbtDatabricks
Requirements
- 3–5 years of experience with data warehouse/data lake and ETL architectures (e.g., Databricks, Iceberg).
- Hands-on experience with cloud data warehouses (e.g., Snowflake).
- Hands-on experience in Python and SQL.
- At least 2 years of experience with Airflow and Spark.
- Experience developing scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks (e.g., Spark, Flink).
- Exposure to AWS platform and services such as EKS, MSK, and MWAA.
- Experience building data features using Snowflake, dbt, and Python for AI/ML inference.
Responsibilities
- 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.
- Manage data models to enable AI/ML data products.
- Champion TextNow's data ecosystem by working with engineering and infrastructure teams.
- Communicate data modeling and architecture processes to cross-functional teams.
- Identify, design, and implement process improvements across the data platform.
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