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Data Engineer (m/f/d)
Contract
Amman, Egypt
24.01.2025
As a Professional Data Engineer, you will collaborate with data science, business analytics, and product development teams to deploy cutting-edge techniques and utilise best-in-class third-party products. The Data team operates with engineering precision, prioritising security, privacy, and regulatory compliance in every initiative. As a Professional Data Engineer, you will contribute to the team's commitment to utilising the latest tools and methodologies, ensuring that our data solutions align with industry best practices.
Our Tech Stack:
Key Responsibilities:
Other Desired Experience:
Our Tech Stack:
- Languages: SQL & Python
- Pipeline orchestration tool: Dagster (Legacy: Airflow)
- Data stores: Snowflake, Clickhouse
- Platforms & Services: Docker, Kubernetes
- PaaS: AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3 and others.)
- ETL: FiveTran & DBT for transformation
- IaC: Terraform (with Terragrunt)
Key Responsibilities:
- Develop and maintain ETL pipelines using SQL and/or Python.
- Use tools like Dagster/Airflow for pipeline orchestration
- Collaborate with cross-functional teams to understand and deliver data requirements.
- Ensure a consistent flow of high-quality data using stream, batch, and CDC processes.
- Use data transformation tools like DBT to prepare datasets to enable business users to self-service.
- Ensure data quality and consistency in all data stores.
- Monitor and troubleshoot data pipelines for performance and reliability.
- 3+ years of experience as a data engineer.
- Proficiency in SQL.
- Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift, Azure Synapse.
- Experience with ETL/ELT, batch, streaming data processing pipelines.
- Excellent ability to investigate and troubleshoot data issues, providing fixes and proposing both short and long-term solutions.
- Knowledge of AWS services (like S3, DMS, Glue, Athena, etc.)
- Familiar with dbt or other data transformation tools.
Other Desired Experience:
- Experience with AWS services and concepts (like EC2, ECS, EKS, VPC, IAM, etc).
- Familiar with Terraform and Terragrunt.
- Experience with Python
- Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.
- Experience with pub-sub, queuing, and streaming frameworks such as AWS Kinesis, Kafka, SQS, SNS.
- Familiar with CI/CD pipelines and automation
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