Senior Data Engineer
2 weeks ago
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**:
**Overview**
**Responsibilities**:
- Design, develop, and maintain data architecture that supports scalable and highly available
analytics requirements for the e-commerce platform.
- Implement efficient data ingestion and processing pipelines from multiple sources, such as user interactions, transactional data, and inventory updates.
- Leverage cloud infrastructure to ensure scalability, high availability, and cost-effectiveness of the data platform.
- Design and implement data models that accommodate the necessary entities, relationships, and attributes while considering scalability and high availability.
- Utilize data transformation tools such as dbt to build and maintain data transformation pipelines that prepare ingested data for analytics.
- Ensure data quality and consistency by implementing robust data validation and monitoring processes.
- Collaborate with data warehouse and data lake technologies to create scalable and highly available data storage solutions.
- Work closely with data analysts, data scientists, and other stakeholders to understand and address their data requirements and challenges.
- Stay current with industry best practices and emerging technologies in data engineering,
analytics, and infrastructure.
**Qualifications**:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a focus on developing scalable and highly available data solutions.
- Strong expertise in SQL and database design.
- Hands-on experience with cloud infrastructure, such as AWS, Azure, or GCP.
- Proficiency in ETL / ELT design and implementation, using tools like Airbyte, Airflow, Prefect, Spark, Kafka, etc.
- Fluency with at least one interpreted language, such as Python, and another compiled, such as Scala, C++, or Rust. You must also be familiar with version control systems like Git.
- Comfortable working on Unix environments.
- Proficiency in data transformation tools, such as dbt, and data validation frameworks like Great Expectations or Monte Carlo.
- Familiarity with containerization (Docker) and container orchestration (Kubernetes)
technologies.
- Experience with data warehouse and data lake technologies, such as Snowflake, Clickhouse, Redshift, BigQuery or the Hadoop Ecosystem.
- Strong understanding of API design and implementation, with a focus on security, efficiency, and high availability.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Knowledge on message brokers like Redis, ZeroMQ, RabbitMQ, etc. is a plus.
- Knowledge of data management and data governance frameworks, such as DAMA, is a plus.
- Knowledge of data privacy best practices and related regulations, such as GDPR, CCPA or the new Saudi PDPL, is a plus.
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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