Data EngineerCandidate will assess requirements in support of business use cases and work with the platform and solution teams to architect, build and support pipelines on the Enterprise Data & Analytics Platform.1. Design and implement data pipelines using Databricks, Spark, and other Big Data technologies.2. Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and build solutions that meet those needs.3.
Develop and maintain ETL workflows, including data transformation, validation, and loading.4. Implement and maintain data security policies and procedures to ensure the confidentiality, integrity, and availability of data.5. Build and maintain monitoring, alerting, and logging solutions to ensure the health and performance of data pipelines.6.
Optimize data pipelines for performance, scalability, and cost.Skills & Requirements:-Experience with data engineering in both cloud and on premises environments-Experience implementing solutions using Azure Data lake, Azure Data Factory, Azure Databricks-Experience creating data ingestion and data pipelines using python / databricks-Experience with pipeline automation & orchestration-Experience with Python or Spark SQL development-Experience supporting big data and analytics projects and/or products