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Job Description & How to Apply Below
As a Head of Data Engineering, your role is to spearhead the data engineering teams and elevate the team to the next level. Responsible for laying out the architecture of a new project as well as selecting the tech stack associated with it.
Responsibilities
- Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale
- Lead Data Engineers to define, build, and maintain the Data Platform
- Work on emerging technologies, building distributed applications
- Drive development effort End to End for on time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards.
- Present technical solutions, capabilities, considerations, and features in business terms.
- Effectively communicate status, issues, and risks in a precise and timely manner.
- Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality
- Lead and Mentor junior resources.
- Help your team members grow in their roles and achieve their career aspirations
- Build data systems, pipelines, analytical tools, and programs
- Conduct complex data analysis and report on result
Technical Skill
Required:
Azure Data Factory, Databricks, Datalakes, Azure Synapse, Python & Pyspark
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