Data Engineer

1 week ago

Riyadh, Saudi Arabia Zid Full time

Company Description
**Who we are?**
Become a Zider member and join this amazing company that is on top of the e-commerce game Join a company that is not only growing but having fun while doing it. We are a human centric organization with huge growth plans and with a purpose to help more and more people with little or no digital experience to start their online business (e-commerce), move their offline to online or grow their offline businesses even more by having an online presence.

**Where are we coming from and where are we going?**

Zid has had a tremendous grow over the last 5 years. From 5 people to 300+ people at present and counting. Our revenues have been increasing more than 3 times year on year and we have had a great success. We are an e-commerce SaSS platform, a fintech startup, a logistics and shipping consolidator and we understand and believe that technology and business go hand-in-hand.

**Job Description**:

- Architecture and implement optimal data pipelines.
- Redesign and improve current processes to eliminate manual processes and ensure timely delivery of data.
- Prepare scalability plans for smoother expansion when needed.
- Build data models that ensure wholesome view of the company’s needed analytics.
- Work with Data Analysts to prepare Ad-Hoc or permanent batch/real-time data pipelines to enable further analysis or machine learning requirements.
- Perform basic Database Administration Tasks (e.g. Data Masking, Access management)
- Work with different business stakeholders and technical teams to gather requirements.
- Implement quality checks and monitoring schemes to ensure data quality and successful completion of data pipelines.

**Qualifications**:

- 5+ years or more of experience working as a Business Intelligence / Data Engineering role.
- Strong problem solving and root cause analysis skills.
- Advanced knowledge of variety Relational Database Engines of a large scale.
- Ability to write advanced SQL queries.
- Enterprise-level knowledge of designing and implementing data pipelines.
- Ability to work with scripting languages such as Python for data manipulation and data pipelines orchestration.
- Ability to build complex data models for Reporting or Functional purposes.
- Solve performance issues in terms of data injection or data retrieval.
- Relational Database Management Systems, such as: Postgres, MySQL, SQL Server.
- Real-time OLAP data stores, such as: ClickHouse
- Distributed query engines, such as: Presto
- Stream processing tools, such as: Apache Kafka, Apache Spark, Apache Druid.
- NoSQL databases.
- Dataflow management tools, such as: Nifi, Prefect, Airbyte, Fivetran, Alteryx, Apache Airflow, Stitch.
- Reverse ETL tools, such as: Census.
- API integration with external sources.
- AWS cloud services, such as: S3, RedShift, DMS, RDS, CloudWatch, EMR, Athena.
- Object-oriented/Object Function programming in: Python, Java, Scala, etc.
- Data transformation tools, such as: dbt
- Data Visualization tools, such as: Tableau, Metabase, Apache Superset.

Additional Information
**What are we offering?**
- Competitive Salary
- Holidays of 21 days + additional days given regularly
- Training (we kicked the learning internally and recently completed an AWS Architecting course)
- Career path clearly defined
- ZEA - Zid Entertainment - Fun Thursdays

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