Data Architect
3 weeks ago
Job Description :
A minimum of 10+ years of experience in data architecture and analytics.
- Databricks : Proficiency in Databricks for data processing, machine learning, and analytics.
- Cloud Platforms : Strong experience with any one or more cloud platforms such as AWS, Azure, GCP, and the ability to integrate Databricks with them.
- Data Engineering : Strong experience engineering concepts, data modelling, and ETL processes.
- SQL : Advanced SQL skills for data querying, transformation, and analysis.
- Python : Proficiency in Python programming for data manipulation, scripting, and automation.
- Apache Airflow : Strong experience with Apache Airflow for orchestrating and scheduling ETL workflows.
- Big Data Technologies : Familiarity with big data technologies like Spark, Hadoop, and related frameworks.
- Data security best practices and compliance standards.
- Data Modelling : Understanding of data modelling principles and best practices.
- Data Warehousing : Knowledge of data warehousing concepts and best practices.
- Version Control : Proficiency in version control systems such as Git.
- Communication : Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Relevant certifications in Databricks and cloud platforms are advantageous
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