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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:
  • 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.
Essential Experience:
  • 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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