The Role
Build and optimize batch and streaming data pipelines, develop ETL/ELT workflows, and work with Hadoop technologies including Spark, Hive, and HDFS. Design medallion architecture and dimensional data models, including Star, Snowflake, and SCD patterns. Ensure data quality, observability, and governance; support machine learning feature pipelines and MLOps. Collaborate with cloud infrastructure teams on scalability, cost, and performance, while managing Git, CI/CD, and containerized deployments.
Summary Generated by Built In
Responsibilities
- Building and optimizing batch and streaming pipelines
- Developing end-to-end ETL/ELT workflows using modern tools
- Working with the Hadoop ecosystem (Spark, Hive, HDFS)
- Designing medallion architecture layers (Bronze, Silver, Gold)
- Implementing data modeling, including Star, Snowflake, and SCD patterns
- Ensuring high data quality, observability, and governance
- Supporting machine learning workflows with feature pipelines and MLOps best practices
- Collaborating with cloud infrastructure teams to improve performance, cost efficiency, and scalability
- Managing deployments using Git, CI/CD, and containerized environments
Professional Experience:
- 3-5 years of experience
Educational Background:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Skills Required
- 3-5 years of professional experience
- Bachelor's degree in Computer Science, Information Technology, or a related field
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The Company
What We Do
Raya Holding for Financial Investments is an investment holding firm that builds and scales businesses across technology, fintech, business process outsourcing, retail and distribution, manufacturing, automotive, food processing, and hospitality. It operates through a portfolio of flagship companies and subsidiaries in six countries, serving customers in more than 50 countries. The group says its investments focus on innovation, sustainable long-term value, digital transformation, and economic opportunity.
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