
Data Infrastructure Specialist
3 days ago
About this Role:
As a seasoned professional, you will play a pivotal part in constructing and maintaining the data infrastructure that underpins our analytics platform.
Key Responsibilities:
- Develop high-performance, scalable data pipelines using cloud-based technologies to drive business growth.
- Collaborate with data scientists to prepare datasets for predictive models and optimize pipeline efficiency.
- Diagnose and resolve issues related to pipeline failures, data discrepancies, or MLOps challenges.
- Document source-to-target mappings, conduct data profiling, and clarify dependencies to ensure seamless integration.
Requirements:
- Minimum 3 years of experience in Data Engineering roles utilizing SQL, PySpark, and AirFlow.
- Profound understanding of data lake and data warehouse design principles and best practices.
- Prior experience in managing cloud-based data services for ETL/ELT covering AWS EC2, S3 Storage, and EMR.
- Ability to manage and enhance infrastructure related to environments covering Spark, Hive, Presto.
- Experience with databases such as Postgres, MySQL, Oracle.
Benefits:
- A dynamic work environment fostering collaboration and innovation.
- Opportunities for career growth and professional development.
- A competitive compensation package.
Competencies:
- Analysis & Problem Solving: Utilizes critical thinking to address complex problems.
- Listening & Communication: Focuses on effective communication with team members.
- Collaboration, Inclusion & Teamwork: A dedicated team player who is approachable, friendly, polite, and takes the time to understand others.
- Customer Focus: Understands customer needs, clarifying requirements and expectations.
- Planning & Organising: Uses tools for structured project planning for optimal time use.
- Initiative: Challenges existing ways of doing things to drive improvement.
- Accountability: Responsible for delivering own work without unnecessary supervision.
About Us:
We provide innovative solutions to meet evolving client needs.
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