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Job Title: Sr. Data Engineer
Location: Glendale, CA Onsite
Job Type: C2C
Job Responsibilities:
Maintain, update, and expand existing core data platform pipelines. Build and maintain APIs to expose data to downstream applications. Develop real-time streaming data pipelines. Work with technologies including Airflow, Spark, Databricks, Delta Lake, and Snowflake. Collaborate with product managers, architects, and other engineers to ensure platform success. Develop and document internal/external standards, best practices, and pipeline configurations. Ensure high operational efficiency and data accuracy to meet SLAs and reliability standards for stakeholders (Engineering, Data Science, Operations, and Analytics teams). Required Qualifications:
7+ years of data engineering experience developing large-scale data pipelines. Proficiency in at least one major programming language (Python, Java, or Scala). Hands-on experience with distributed processing systems such as Apache Spark. Production-level experience with data pipeline orchestration tools like Apache Airflow. Expertise in at least one Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, BigQuery). Experience in data modeling and API development using GraphQL. Advanced understanding of OLTP vs. OLAP environments. Preferred Qualifications (Nice-to-Have):
Experience with Graph Databases. Real-time event streaming expertise.
Wünschenswerte Fähigkeiten
- Data Modeling
- GraphQL
- Java
- Python
- Scala
- Databricks
Berufserfahrung
- Data Engineer
- Data Infrastructure
Sprachkenntnisse
- English
Hinweis für Nutzer
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