Data Engineer

Proficiency in Python : Strong experience in Python programming, particularly in developing ETL processes and data manipulation. Experience with Azure Cloud: Hands-on knowledge of Microsoft Azure services, including Azure Data Factory, Azure Databricks, Azure Storage, and Azure Virtual Machines. ETL Development: Ability to design and implement efficient ETL workflows to extract, transform, and load data from various sources. Data Governance and Compliance: Understanding of data governance principles, data quality management, and experience ensuring compliance with financial regulations (e.g., GDPR, CCPA). Data Pipeline Design: Experience in architecting scalable and flexible data pipelines, with a focus on performance optimization. Data Quality Assurance: Skills in implementing data quality checks and monitoring to maintain data integrity throughout the pipeline. Financial Services Experience: Previous experience working in the banking or financial services industry, understanding specific data handling and compliance challenges. Agile Methodologies: Ability to work effectively in a cross-functional Agile team, adapting to fast-paced project requirements. Communication Skills: Strong collaboration skills to work with stakeholders and teams, translating business requirements into technical solutions.