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Data Engineer
3 weeks ago
Broaden your knowledge and skills by working on advanced data engineering projects that impact the organization's goals, economic reputation, and wellbeing.
The RoleAs a senior data engineer, you will play a pivotal role in enabling data-driven operations. Your responsibilities will include designing and maintaining robust data pipelines, managing secure and efficient data transfers, and ensuring timely and accurate delivery of data to support business functions.
- Provide ongoing support for data infrastructure, including cloud platforms, data lakes, data marts, and dashboards.
- Monitor data platform performance and recommend enhancements to maintain optimal benchmarks.
- Design and implement ETL pipelines using agile methodologies.
- Contribute to the development and deployment of solution designs and big data strategies across environments.
- Communicate technical updates and project priorities to leadership, including timelines and data technology considerations.
- Investigate and resolve data-related incidents promptly.
The ideal candidate is a motivated and technically skilled data engineer with experience in data management, cloud platforms, data warehousing, analytics, and business intelligence.
- Tertiary qualifications in a quantitative discipline such as Statistics, Mathematics, or Information Technology.
- Significant experience in data management, including cloud platforms, data lakes, warehousing, analytics, and business intelligence.
- Proficient with BI and analytics tools such as Databricks, SQL Server, Power BI, R, and Python.
- Solid understanding of data warehousing, big data architecture, data streaming, and virtualization.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Strong development skills in Python and SQL.
- Experience working within Agile delivery environments.
- Strong analytical and problem-solving skills, with the ability to resolve complex stakeholder queries.
Enhance your career by joining this dynamic team and contributing to cutting-edge data engineering projects.
