Data EngineeringData AnalyticsData ModelingData PipelinesData PreparationData QualityData ScienceData WarehousingDatasetsEnterprise Data
Mid-level (3-4 years) -
San JoseCA
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Role
Who you are
Over 3 years of experience in data warehouse design and development.
Proficient in building data pipelines to integrate business applications with Snowflake.
Proficiency in SQL, data modeling techniques (Dimensional), and writing efficient queries on large datasets.
Hands-on experience with Python for extracting data from APIs and building data pipelines.
Experienced in ELT tools like Matillion, Fivetran, Talend, and IDMC.
Experienced in data transformation tools like DBT, AWS services (EC2, S3, Lambda).
Experienced in CI/CD processes, Git versioning, and advanced Snowflake concepts, with knowledge of data visualization tools like Tableau and Power BI.
Desirables
Familiarity with data mesh style architecture.
Experience using data orchestration workflows using open-source tools like Apache Airflow, Prefect
What the job involves
Collaborate with Data & Technical Architects, integration, and engineering teams to capture requirements and develop data pipeline solutions.
Support the evaluation and implementation of data technologies to meet evolving needs.
Work with IT business engagement, applications engineers, and data partners to identify and define data source requirements and ensure data quality.
Develop data preparation tools, build data pipelines for integration into Zscaler's Snowflake data warehouse, and establish data management standards in collaboration with Principal Engineers.