
Data Architect
6 days ago
We are seeking a highly skilled Data Architect to lead the development of our data infrastructure.
- Required Skills:
- • Proficient in Python and SQL, including popular libraries such as Pandas and NumPy.
- • Strong background in distributed data processing and storage technologies like Apache Spark and Hadoop.
- • Experience with large-scale data engineering, including model development and production-ready ETL pipelines.
- • Development experience with at least one cloud platform (Azure is preferred).
- • Knowledge of data lake and data lake house patterns.
- • Familiarity with ETL performance tuning and cost optimization techniques.
- • Strong understanding of data structures and algorithms, as well as software engineering best practices.
- Nice to Have:
- • Experience with Azure Databricks.
- • Knowledge of DevOps principles, including ETL pipeline orchestration using tools like GitHub Actions and Terraform.
- • Certifications in Azure, AWS, or GCP are highly valued.
- • Familiarity with code version control systems like Git.
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