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Azure Data Engineer
3 months ago
Description of Duties:
· Design, develop, and implement new data solutions on Azure/AWS to consume and deliver data solutions.
· Maintain and support existing applications on Azure/AWS platforms.
· Actively participate in daily team meetings and sprints.
· Demonstrate proficiency in understanding data architecture design using Azure data engineering capabilities.
· Client-facing role, requiring strong communication and presentation skills.
Technical Requirements:
· Minimum of 1 year of experience in data transformations and ETL using Azure/AWS technologies.
· Experience with CI/CD deployments (DataOps).
· Knowledge of building real-time and batch data processing pipelines using Apache Spark, Azure Data Factory, Azure Databricks and Synapse will be beneficial.
· Knowledge of Delta Lake for managing data lakes with reliability and performance. Familiarity with Databricks notebooks for collaborative development
· Knowledge of security best practices for data handling and processing within Azure Databricks environment. Knowledge of security best practices for data handling and processing within Azure Databricks environment.
· Excellent knowledge of relational and non-relational database modelling.
· Proficiency in manipulating and combining large datasets from multiple sources.
· Strong expertise in Python scripting.
· Experience with SQL databases, such as MySQL and SQL Server.
· Familiarity with SQL NoSQL databases, like MongoDB and CosmosDB.
· Background in building ETL/Data Warehouse transformation processes.
· Proficiency in writing complex SQL queries and creating data models.
· Understanding of the software development lifecycle.
· Excellent analytical and problem-solving skills.
Other Requirements:
· Ability to work both independently as a self-starter and within a team environment.
· Strong communication skills to effectively collaborate with delivery teams and business-facing teams, understand sometimes ambiguous needs, and translate them into clear, aligned requirements.
· Client-facing role, requiring strong communication and presentation skills.
Good to Have:
· Knowledge of PySpark.
· Experience with medium to large projects.
· Familiarity with agile work practices.
· Passion for achieving goals and delivering results.
· Machine Learning and Recommendation Systems model building knowledge.