Senior Data Engineer
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Company Description
Jobs for Humanity is partnering with hassan+667 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: hassan+667
Job Description
We are seeking a highly skilled Data Engineer to join our growing team in Kuwait. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that empower data-driven decision-making across the entire organization. You will work with cutting-edge technologies and collaborate closely with data scientists, analysts, and business stakeholders to unlock the full potential of our data assets.
Job Purpose
The purpose of this role is to architect, develop, and manage robust data pipelines and infrastructure that ensure high availability, quality, and performance of data systems. The Data Engineer will enable seamless data flow, optimize storage and processing costs, reduce latency, and empower business teams with self-service analytics capabilities to drive informed decision-making across the organization in Kuwait.
Job Duties and Responsibilities
- Build reliable ETL/ELT data pipelines
- Ensure 99.9% data availability and quality
- Optimize data warehouse performance and cost
- Reduce data processing latency by 30%
- Enable self-service analytics for business teams
- Design and implement scalable data architectures
- Monitor and maintain data pipeline health and reliability
- Collaborate with cross-functional teams to understand data requirements
Qualifications
Required Qualifications
- SQL
- Python
- Apache Spark
- Apache Kafka
- Airflow
- AWS/GCP/Azure
- Snowflake/BigQuery/Redshift
- Docker/Kubernetes
- Git
- Data modeling
Requirements
- •SQL proficiency
- •Python programming skills
- •Apache Spark experience
- •Apache Kafka experience
- •Airflow experience
- •Cloud platform experience (AWS/GCP/Azure)
- •Data warehousing experience (Snowflake/BigQuery/Redshift)
- •Docker/Kubernetes knowledge
Nice to Have
- •Git version control
- •Data modeling expertise
Responsibilities
- •Build reliable ETL/ELT data pipelines
- •Ensure 99.9% data availability and quality
- •Optimize data warehouse performance and cost
- •Reduce data processing latency by 30%
- •Enable self-service analytics for business teams
- •Design and implement scalable data architectures
- •Monitor and maintain data pipeline health and reliability
- •Collaborate with cross-functional teams to understand data requirements
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