Data Engineer (Egypt)
Sary, Egypt

At Sary, we are reinventing wholesale by providing the best shopping experience from wholesale markets. We help businesses manage their purchases efficiently through operational and technical innovations. Using our platforms, thousands of businesses have access to wholesale listing from hundreds of suppliers at convenient cost and service.

We are looking for Data Engineer who is able to:

• Participate in the design and implementation of the architecture of the data infrastructure and storage platforms.
• Participate in the design and implementation of the data engineering technology stack, ETL pipelines, and services needed to curate a portfolio of actionable, accurate datasets to support business intelligence, product experimentation, and machine learning.
• Contribute to the definition of engineering and data science best practices to ensure the development of well-crafted, pragmatic and elegant solutions.
• Engage with local and global stakeholders to evolve and generalize data models and data definitions.
• Foster collaboration, knowledge sharing and data literacy between teams.
• Deeply understand and strive for the improvement of data organization, data management, and data governance best practices.
• Advocate code quality and documentation.
• Partner effectively with product and other stakeholders, to drive successful solutions.
• Responsible for the performance, integrity, and security of the database.
• Write and troubleshoot SQL Queries.
• Helping with database design and development.
• Designing maintenance procedures and putting them into operation.
• Ensuring that database design meets user requirements.
• Writing reports, documentation, and operating manuals.
• Testing and modifying databases to ensure that they operate reliably.

Requirements

• Extensive experience designing and developing data transformation, data transport and data serving applications in a cloud environment (AWS, GCP, Azure)
• Expert knowledge of SQL, and either Python, Java or TypeScript, including reliability and performance optimization.
• Extensive experience querying NoSQL and graph databases (e.g. MongoDB, HBase, Cassandra, Neo4j).
• Experience with languages and tools for of data manipulation, analysis and plotting (R, R-shiny, R- markdown, Scikit, Numpy/Scipy, Pandas, Matplotlib, Bokeh, Jupyter).
• Experience with mathematical and statistical data analysis techniques (such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models).
• Wide experience in different technology stacks, tools, and practices such as DevOps.
• Deep experience in the design, development, maintenance of data models to be used by various reporting and data discovery tools
• Ability to analyze and tune query execution plan and fix performance issues
• Hands-on experience with production databases
• Ensure thorough testing of applications, interfaces, and integrations
• Visual reporting and best practices for tools such as SSAS (SQL Server Analysis Services), PowerBI, Tableau, MicroStrategy, Business Objects, etc.
• Experience with CI/CD tools and techniques.

Job Rewards and Benefits