Data Engineer
4 weeks ago
What You’ll Do:
• Lead architecture, design and development of end-to-end Cloud based solutions supporting data integration, data ingestion, data observability, and data fulfilment.
• Build a Data Platform and services using the latest Cloud technologies such as GCP
• Build real-time streaming and batch data pipelines, metadata services, and UI dashboards for data monitoring, controls, and prediction.
• Explore opportunities for optimization of existing data services and re-designing of data infrastructure for greater scalability and performance.
• Provide support to Data Governance initiatives such as data quality, data lineage, and metadata management, and perform root-cause analysis to answer specific business questions.
Must Haves:
• 8+ years' experience as a Data Engineer
• Experience coding with python
• Experience working with AirFlow (Someone whose main cloud experience is with Azure Data bricks will not be a fit)
• Strong SQL experience
• Experience with Linux environment and building CI/CD pipelines
• Knowledge and experience in Data Lake and Big Data and Cloud technologies such as GCP (Dataflow, BigQuery, Pub/Sub, Airflow), AWS
• Experience pushing code into GIT
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