
Senior Data Pipeline Engineer
15 hours ago
Job Overview
We are seeking a highly skilled professional to build and maintain secure, scalable data pipelines using Databricks and Azure.
This role requires expertise in handling ingestion from diverse sources (files, APIs, streaming), data transformation, and quality validation.
The ideal candidate will collaborate with subsystem data science and product teams for ML experiences.
Key Responsibilities
- Data Ingestion: Develop efficient data ingestion processes from various sources, including files, APIs, and streaming platforms.
- Data Transformation: Design and implement data transformation workflows using Notebooks (SQL, Python) and Delta Lake.
- Data Quality: Establish robust data quality validation processes to ensure accuracy and reliability.
- Collaboration: Work closely with data science and product teams to develop and deploy machine learning models.
Required Skills
- Notebooks and Databases: Proficient in Notebooks (SQL, Python), Delta Lake, Unity Catalog, ADLS/S3, job orchestration, APIs, structured logging, and IaC (Terraform).
- Development Methodologies: Familiarity with Trunk-based development, TDD, Git, CI/CD for notebooks and pipelines.
- Data Formats: Knowledge of JSON, CSV, XML, Parquet, SQL/NoSQL/graph databases.
What You Get
- Opportunity: Opportunity to work with a world-class team.
- Learning: Chance to learn something new every day.
- Culture: Collaborative environment with designers, engineers, and product geeks.
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