
Data Engineering Lead
3 days ago
Job Title: Data Architect Leader
Role OverviewLead the development of robust data engineering platforms and analytics solutions.
Key Responsibilities:- Design and implement highly available data and analytics platforms with a minimum of 9-12 years of professional experience in the field.
- Breathe life into data-driven solutions for analytics and science by leveraging expertise in cloud-based platforms, such as AWS or similar technologies.
- Lay the groundwork for complex data pipelines – batch and/or real-time event-based processing.
- Create scalable and robust data warehouses in Redshift or similar cloud-based solutions.
- Weave together intricate ETL processes using Spark (Scala or Python) for event-based big data processing.
- Craft high-performing data systems requiring strong hands-on SQL expertise.
- Deliver scalable solutions leveraging modern scripting languages like Python.
- Architect seamless integrations with NoSQL DBs – MongoDB, Cassandra, or DynamoDB.
- Strong technical skills in data engineering, including proficiency in cloud-based platforms and distributed systems.
- Expertise in designing and implementing data pipelines, including batch and real-time processing.
- Proficiency in SQL and ability to craft high-performing data systems.
- Experience with ETL processes and ability to weave together intricate data flows.
- Knowledge of modern scripting languages, such as Python, and ability to deliver scalable solutions.
- Ability to architect seamless integrations with NoSQL DBs.
- Opportunity to lead the development of cutting-edge data engineering platforms.
- Chance to work with a talented team of professionals in the field.
- Professional growth and development opportunities.
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