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AWS Data Engineer
2 months ago
Company Overview
Amber Energy Solutions Limited is a leading energy management consultancy that provides innovative solutions to its clients. We are committed to delivering high-quality services that meet the evolving needs of our customers.
Job Summary
We are seeking an experienced AWS Data Engineer to lead the development of our data infrastructure and drive the adoption of cloud-native technologies. The successful candidate will be responsible for designing and implementing scalable data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to deliver business-critical solutions.
Key Responsibilities
- Data Infrastructure Development
- Design and implement scalable data pipelines using AWS services such as Lambda, Glue, and Kinesis.
- Develop and maintain data management systems to ensure data quality and integrity.
- Cloud-Native Technologies
- Lead the adoption of cloud-native technologies to improve data processing and analytics capabilities.
- Collaborate with cross-functional teams to design and implement cloud-based solutions.
- Team Leadership
- Lead and mentor a team of data engineers to ensure the successful delivery of projects.
- Develop and implement processes to improve team productivity and efficiency.
- Communication and Collaboration
- Communicate technical solutions and recommendations to non-technical stakeholders.
- Collaborate with cross-functional teams to ensure alignment and effective communication.
Requirements
- Technical Skills
- Extensive experience with AWS services relevant to data ingestion and processing.
- Strong background in developing and optimizing data pipelines and data management systems.
- Proficiency in programming languages such as Python and SQL.
- Leadership and Collaboration
- Proven experience in leading and mentoring teams.
- Strong communication and collaboration skills.
What We Offer
- Competitive Salary and Benefits
- Opportunities for Professional Growth and Development
- A Collaborative and Dynamic Work Environment
