
Data Platform Engineer
4 days ago
Responsibilities :
- Design, develop, and maintain scalable data platforms and pipelines.
- Build data ingestion frameworks to collect data from diverse sources (structured and unstructured).
- Ensure high availability and performance of data systems.
- Automate data quality checks and monitoring.
- Collaborate with cross-functional teams to define data architecture and strategy.
- Implement data governance, security, and compliance practices.
- Optimize data workflows for performance, scalability, and cost-efficiency.
Requirements :
- Strong programming skills in Python, Java, or Scala.
- Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, and Hadoop.
- Experience with data orchestration tools like Airflow, Dagster, or Prefect.
- Solid understanding of cloud platforms (e. g., AWS, GCP, or Azure) and cloud native data services (e. g., S3 BigQuery, Redshift).
- Experience with CI/CD for data pipelines and infrastructure as code (e. g., Terraform).
- Strong knowledge of SQL and relational as well as NoSQL databases.
- Understanding of data modeling, data warehousing, and ETL/ELT processes.
- Familiarity with containerization (Docker, Kubernetes) is a plus.
- Experience with monitoring and logging tools for data platforms (e. g., Prometheus, Grafana, ELK stack).
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