Senior Data Engineer
2 weeks ago
This is a remote position for a Senior Data Engineer to drive the evolution of our data infrastructure and unlock the full potential of our meter data.
We are seeking a highly skilled AWS Platform Data Engineer to lead the transition from proprietary tools to AWS native technologies for meter data ingestion, integrating seamlessly with Snowflake.
Responsibilities:
- Develop solutions to facilitate easier data handling and identify data issues.
- Implement processes and technologies to enable real-time or half-hour meter data ingestion, improving data timeliness and accuracy.
- Oversee the creation and management of a self-service data catalogues, enabling analysts to access and utilize data sources effectively for real-time reporting and analysis.
- Utilize AWS services (e.g. Lambda, Glue, Kinesis) to build and optimize data pipelines and infrastructure.
- Continuously monitor and enhance data quality and streamline data processes to ensure accuracy and efficiency.
- Work closely with stakeholders to understand their data needs, deliver tailored solutions, and support business objectives.
- Stay updated on the latest AWS technologies and data engineering best practices, driving innovation in data processing and reporting solutions.
Requirements:
- Extensive experience with AWS services relevant to data ingestion and processing (e.g. Lambda, Glue, Kinesis) and data warehousing with Snowflake.
- Strong background in developing and optimizing data pipelines and data management systems.
- Proven experience in developing and managing PowerBI reports and self-service data catalogues.
- Proficiency in programming languages such as Python and SQL.
- Experience with real-time data ingestion and processing solutions.
- Proven ability to lead and mentor a team of data engineers with strong project management skills.
- Expertise in improving data quality and optimizing data workflows.
Desirable:
- Experience with meter data ingestion systems and familiarity with industry-specific requirements.
- Knowledge of advanced analytics techniques and tools.
- Experience with integrating cloud data solutions with various data sources and systems.
- AWS Professional Certification or Data Analytics/Machine Learning.
Benefits:
- Work Location: Remote
- 5 days working
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