
Chief Data Engineering Strategist
1 day ago
Lead the development of innovative data pipelines, warehouses, and cloud-based systems to drive impactful projects from conception to completion.
- Design, build, and maintain scalable and reliable data infrastructure solutions using Apache Airflow, Apache Kafka, and Apache Flink.
- Collaborate with cross-functional teams to create and deliver analytical products and services that meet business requirements.
- Participate in daily stand-ups and team meetings to coordinate and contribute to development efforts.
- Implement performant batch and streaming data pipelines capable of handling large volumes of data in real-time market data and batch formats.
- Utilize Snowflake to construct robust and scalable data warehousing solutions.
- Build and maintain cloud-based systems on AWS or GCP.
- Oversee the maintenance and monitoring of various data applications, pipelines, and databases.
Essential Qualifications
Proficiency in Python and SQL is crucial for this role.
- Experience with Cloud platforms (AWS or GCP).
- Knowledgeable in ETL processes and event streaming technologies (such as Kafka, Flink, etc.).
Seniority Level and Employment Type
Mid-Senior level professionals with a full-time employment arrangement are preferred.
Job Function and Industry
Information Technology professionals with experience in data engineering are ideal candidates for this position.
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