Senior Data Engineer
5 days ago
We are looking for a **Senior Data Engineer** to join our team in Cairo.
**Summary**:
Raisa is an energy fintech company that uses proprietary technologies (in-house tech, machine learning microservices, securitization) to manage large investments in the United States. With over $2 billion of private funding, Raisa has built a diverse portfolio of oil and gas assets. We are passionate about innovation that leverages our team’s capabilities via proprietary technology and creates extraordinary results for all stakeholders.
We are looking for a highly motivated **senior data engineer** to join our team at Raisa. As a senior data engineer, your main goal is to be a few steps ahead of other teams, supporting them with the required data infrastructure, tools and data pipelines.
**Responsibilities**:
- Design, build and maintain Raisa’s data pipelines and data warehouse.
- Extract data from structured, semi-structured and unstructured datasets.
- Build dashboards and reports.
- Design and implement complex data models using SQL, Python and Apache Spark.
- Manage Raisa’s cloud data infrastructure on Azure.
- Design and build useful data tools and frameworks that can serve different teams.
- Communicate with different teams to understand their data requirements and their data infrastructure challenges.
**Must have**:
- 4-8 years of experience in data engineering
- Experienced in writing and optimizing complex SQL queries
- Experienced in building complex data pipelines using SQL and Python
- Experienced in modern data warehousing concepts and working with cloud data warehouses like Redshift, Big Query or Snowflake (we are on Snowflake)
- Experienced in managing cloud infrastructure AWS, GCP or Azure (we are on Azure)
- Experienced with MLops including deploying and monitoring ML models in production
- Familiar with data pipeline orchestration tools like Airflow, Dagster or Prefect
- Comfortable working with ambiguous requirements
- Able to take initiatives and lead the way
- Focused on the details and having passion for data quality
- Passionate about code efficiency and cloud cost optimization
**Nice to have**:
- Familiar with machine learning concepts
- Experienced with spatial data analysis (we use Esri)
- Experienced with serverless computing, Containers, Docker and Kubernetes
- Experienced in designing and building data pipelines using Apache Spark \ Databricks
- Experienced in configuring Spark/Dask clusters
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