
Cloud Infrastructure Specialist
5 days ago
We are seeking an experienced Data Engineer to design, build, and maintain scalable data solutions that support critical business needs.
The role involves working with distributed data platforms, cloud infrastructure, and modern data engineering tools to enable efficient data processing, storage, and analytics.
Your Key Responsibilities- Design and develop data pipelines and workflows on distributed data platforms such as BigQuery, Hadoop/EMR/DataProc, or Teradata.
- Build and optimize cloud-based solutions using AWS or GCP to process and store large-scale datasets.
- Design and manage workflows and data pipelines using Apache Airflow to ensure scalability, reliability, and maintainability.
- Implement event streaming systems using Kafka to enable reliable and scalable data processing.
- Write clean, efficient, and maintainable code in Python and SQL to automate data processing, transformation, and analytics tasks.
- Optimize relational and non-relational databases for high-performance querying and analytics.
- Participate in system monitoring, incident addressing, and production environment reliability.
- Collaborate with cross-functional teams to deliver data-driven solutions.
We prioritize processes and culture, certified with various industry standards. Our company values knowledge sharing and career growth.
You will work with talented individuals and contribute to your growth and success.
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