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2 days ago
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support real-time and batch data processing.
This role involves collaborating with cross-functional teams to deliver reliable, high-quality data systems that power analytics, insights, and data-driven decision-making.
- Design, develop, and maintain robust data pipelines and ETL workflows
- Build and manage scalable data architectures and cloud-based infrastructure
- Ensure data accuracy, completeness, consistency, and governance
You will work closely with data scientists, analysts, and software engineers to understand data needs, optimize performance of data systems, queries, and storage solutions, and implement data quality monitoring and alerting systems.
- Collaborate with analytics and engineering teams to understand data requirements
- Optimize performance of data systems, queries, and storage solutions
- Implement data quality monitoring and alerting systems
To be successful in this role, you must have:
- Proven experience as a Data Engineer or in a similar data infrastructure role
- Strong programming skills in languages such as Python, Java, or Scala
- Proficient in SQL and experienced with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases
The following qualifications would be beneficial:
- Experience with CI/CD pipelines and version control (Git)
- Exposure to machine learning pipelines and model deployment
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