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Senior Data Engineer
1 month ago
Job Description
We are seeking a Senior Data Engineer to advance our data engineering practices and serve as a technical expert. The ideal candidate will contribute significantly to the vision and execution of our data engineering efforts, ensuring the development of secure, robust, scalable, and high-performing data platforms.
You will actively participate in the design, development, and implementation of sophisticated data solutions while offering mentorship and technical guidance to other engineers. Your contributions will have a broad impact across the organization as you champion best practices, innovate to enhance our data engineering capabilities, and work directly on the technical solutions required to advance our data systems.
- Key Responsibilities:
- Contribute to the strategic vision for data engineering and participate in the architectural design and development of new and complex data solutions.
- Design and implement new data systems and infrastructure to ensure the reliability and scalability of data systems.
- Influence key decisions regarding the data technology stack, infrastructure, and tools.
- Set coding standards and best practices for the Data Engineering & Operations team.
- Work closely with database developers, software development, product management, and AI/ML developers to align data initiatives with Assent's organizational goals.
- Collaborate with team members to monitor progress, adjust priorities, and meet project deadlines and objectives.
- Identify opportunities for internal process improvements, including automating manual processes and optimizing data delivery.
- Proactively support peers in continuous learning by providing technical guidance and training on data engineering development, analysis, and execution.
- Be familiar with corporate security policies and follow the guidance set out by processes and procedures of Assent.
This is not an exhaustive list of duties. Responsibilities may be altered and/or added from time to time to meet business needs.
Requirements:
- Degree in a related field and 7+ years of data engineering experience.
- Proficiency in tools and languages such as AWS, dbt, Snowflake, Git, R, Python, SQL, SQL Server, and Snowflake.
- Strong project management skills and the ability to communicate complex concepts effectively.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at conveying complex data insights through a robust understanding of data management systems, warehouse methodologies, data quality standards, data modeling techniques, governance protocols, and advanced analytics.
- Familiarity with agile work environments and scrum ceremonies.
- Strong business acumen and experience in aligning data initiatives with business objectives.