Other Specification:

• Bachelor’s degree (or more) in computer science and Engineering, information Technology or equivalent.
• Three or more year’s equivalent work experience.
• Proven experience as a data engineer, software developer, or similar.
• Expert proficiency in Python or R, and SQL.
• Technical expertise with data models, data mining, and segmentation techniques
• Building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Performing root cause analysis on internal and external data and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Supporting and working with cross-functional teams in a dynamic environment.

Job Description:

• Design, build, and maintain data pipelines used to ingest and transform data from a variety of source systems for reporting and integration into other data systems.
• Design, build, and maintain data warehouses and data marts used to serve data to downstream consumers including Power BI dashboards and reports, IT processes, and data science.
• Utilize DataOps practices to ensure high availability and observability of data pipelines and data warehouses.
• Scope and gather requirements to design and develop integrated reporting solutions using on-premises Microsoft Power BI Report Server.
• Define and implement security and access controls on data warehouses, Power BI Report Server, etc. to ensure protection of systems and data assets.
• Consume and analyze data from the data pipeline to infer, predict and recommend actionable insights, which will significantly move the relationship with the customers in a positive direction and contribute to business growth.
• Help engineer and build intelligent alerting systems that detects early anomalies in the data and informs product teams to investigate issues before they amplify.
• Automate manual processes to optimize data delivery. 
• Architect distributed systems and data stores.

Source: Merojob 

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