Job Description
Job Description Job Title: Senior Data Engineer
Location: Sunnyvale, CA (Remote)
Duration: Fulltime
Skills: Kafka | Python | ETL Testing | Hive
Salary: 120K-150K/Year
Required Skills & Qualifications:
Must Have Technical/Functional Skills
- Google Cloud Platform (Eligible to workP)
- PySpark
- Python
- Airflow
- Hive
- Kafka
Data Pipeline Development, Enhancement & Maintenance
- Design, build, and maintain scalable ETL/ELT pipelines.
- Automate data ingestion from multiple data sources.
- Ensure reliable, high-performance, and scalable data movement.
- Develop and Eligible to workimize PySpark-based data processing frameworks.
- Build and manage Airflow workflows and orchestration pipelines.
- Work with Hive and Kafka-based batch and streaming data solutions.
- Implement data quality, monitoring, governance, and operational controls.
- Support production incidents, performance tuning, and continuous improvement initiatives
Roles & Responsibilities
- The Data Engineer will be responsible for designing, building, governing, and Eligible to workimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations.
Preferred Experience
- Strong Functional Knowledge in Retail (Search & Personalization) Added advantage.
- Strong experience with large-scale Eligible to workP Data Engineering solutions.
- Hands-on experience with Airflow DAG development and support
- Experience building and Eligible to workimizing Spark/PySpark data pipelines.
- Exposure to Hive-based data processing and Kafka-driven ingestion frameworks.
- Experience supporting analytics, personalization, recommendation, or search platforms is highly desirable