Data Architect @ Agilisium

Skills and Experience:

• 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.